Assistant Manager – Warehouse Java Operation Job at Unilever (Tangerang)

Assistant Logistic Transport Manager Java

This role is responsible for managing logistics transport from Java sourcing to ...

Location

Indonesia , Banten

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

Min bachelor’s degree in engineering
Experienced in handling supply chain operational role
Experienced working with external parties is preferred
Prior min 1 year work experience in related logistic business would be an advantage
Prior minimum 1 year work experience in other FMCG company (Logistics, Manufacturing, Planning, Customer Experience & Commercial)
Mastery in Excel, Power BI, Power Point, SAP System
Fluency in English
Team-oriented, detail-oriented, independent, and knowledgeable about supply chain operations
Data-driven decision making
Strong service and cost mindset

Job Responsibility

Cross collaboration with Customer Experience team, warehouse team and Transporters to ensure we deliver products as per requirements
Monitor and troubleshoot shipment execution
Organize network and implement the best FG flows from BoF to Customer/ DC
Initiate, implement and guard continuous improvement in logistics, especially to make the process more effective and cost efficient
Validate finance inquiry related to transportation
Capacity preparation to support sales
D2D project lead

Fulltime

Manager, Warehouse Automation (Software)

Our team members are at the heart of everything we do. At Cencora, we are united...

Location

United States , Remote

Salary:

88700.00 - 126940.00 USD / Year

Cencora

Expiration Date

Until further notice

Requirements

Normally requires some training in fields such as business, project management, administration, accountancy, sales, marketing, computer sciences generally obtained through completion of a four-year bachelor’s degree program or equivalent combination of experience and education
Minimum of six (6) years directly related and progressively responsible experience
Programming skills in SQL Server/Oracle and/or Visual Studio/Java are required
Experience with Warehouse Material Handling and Automation Systems is a must
Experience with writing Test plans and testing is a must
Ability to communicate effectively both orally and in writing with various levels within the organization (Technical and non-technical resources, external vendors, etc.)
Demonstrated knowledge of project management concepts and associated tool usage
Good interpersonal skills
effective team player
Ability to write functional and technical specifications

Job Responsibility

Under the direction of a Sr. Manager or Director, the Manager implements, inspects, integrates, tests, and supports various Material Handling Software solutions and implementations that form Cencora’s key business operations
Leads or assists the Project Teams with implementation, functional specifications, interface specification, testing, issue tracking, and trend analysis
Leads or assists corporate and/or division MHE enhancement projects with evaluations, implementation plans, testing, documentation, delivery, deployment for project software/systems/hardware/equipment, and project closeout
Leads or assists with training and support of automated Material Handling solutions
Participates in the design, development, testing, and implementation of technologies to best meet the organization's cybersecurity needs
Leads or assists with preparation of preliminary user requirements as well as, WCS support/modifications and documentation materials for all division systems
Leads or assists in the development and rollout of training programs and materials that will assist the end-users and customers in better utilizing new or enhanced applications
Assists with business intelligence initiatives and projects

What we offer

Medical
dental
vision care
comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness
support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave
variety of training programs
professional development resources
opportunities to participate in mentorship programs, employee resource groups, volunteer activities

Fulltime

Senior Java -Spark-Bigdata Engineer-Assistant Vice President

The Applications Development Senior Programmer Analyst is a senior-level positio...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

7-10 years of relevant experience in Data Engineering or a similar role, preferably within the Financial Services industry
Senior-level experience in an Applications Development or Data Engineering role
Consistently demonstrates clear and concise written and verbal communication
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor's degree/University degree or equivalent experience
Hands-on expertise in Java (8+), Spring Boot, Python, and PySpark for building high-performance data applications
Extensive experience with the BigData ecosystem, including Apache Spark for large-scale data processing
Solid understanding of Data Warehouse concepts, design principles, and best practices
Strong proficiency with both relational SQL databases and NoSQL databases (e.g., MongoDB, Couchbase)

Job Responsibility

Utilize expert knowledge of data engineering principles, big data technologies, and software development best practices to design and implement robust data solutions
Collaborate with business stakeholders, data scientists, and other technology teams to understand data requirements and deliver effective solutions
Apply deep expertise in programming languages like Python and Java for building high-performance data processing applications
Ensure data solutions are secure, scalable, and adhere to the firm's security and architectural standards
Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning
Lead the analysis of complex data-related issues, identify root causes, and implement sustainable solutions
Operate with a high degree of autonomy and independence, exercising sound judgment and decision-making
Act as a Subject Matter Expert (SME) in big data technologies for senior stakeholders and other team members
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Digital Software Engineer Senior Analyst - Assistant Vice President

Location

United States , Tampa

Salary:

96960.00 - 145440.00 USD / Year

Citi

Expiration Date

August 31, 2026

Requirements

5-8 years experience with PL/SQL, Oracle and integration with Java applications
Exposure to architecture experience in building horizontally scalable, highly available, highly resilient, and low latency applications
Experience with data engineering techniques like building data lakes and data warehouses, data mesh, data pipelines, ETL vs. ELT
Exposure to Cloud infrastructure both on-premise and public cloud (i.e., OpenShift, AWS, Snowflake, Databricks)
Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premise or public cloud (i.e., Tekton, Harness, CircleCI, Cloudbees Jenkins, etc.)
Exposure to API Management tools
Exposure to Infrastructure as Code tools (i.e., IntelliJ, Cloudformation, PiSpark, etc.)
Experience mentoring junior developers

Job Responsibility

Accountable for executing and driving mid-size feature application design and development efforts to completion, serving as a development lead on medium-scale projects and supporting the execution of larger efforts
Proficient at operating with considerable autonomy and discretion as you will significantly influence the way an application is designed and developed by providing subject specific expertise and an advanced level of understanding of application programming principles
Sought after due to ability to analyze and troubleshoot coding, application performance and design challenges
Capable of research in root cause of development and performance concerns as well as the resolution of defects
Have a deep understanding of the technical requirements for the solutions being built
Understand engineering needs including those required to build, maintain, and operate the system through all phases of its life
Proficient in information modeling, data structures and algorithms
Understand maintenance characteristics, runtime properties and dependencies that exist in support of your system’s software
Demonstrate an advanced understanding of supported main system flows and possess a comprehensive understanding of how the system and others collectively integrate to contribute towards achieving business objectives
Participate in design discussions as a Development Lead and as such will play the part of a key decision maker in driving design decisions

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
planned time off (vacation)
unplanned time off (sick leave)
paid holidays

Fulltime

Senior Data Engineer

If you love the pursuit of excellence and are inspired by the challenges that co...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
2+ years experience with data governance, data compliance and/or data security
4+ years of hands-on software development experience in one or more general purpose programming languages (e.g., C#, Java, C++, Python, JavaScript/TypeScript)
Hands-on experience designing and operating production data pipelines and platforms at scale
Working understanding of how GenAI systems consume data — training datasets, features and labels, embeddings, retrieval and grounding data, evaluation harnesses, and the data-side failure modes that drive model and agent regressions
Hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, agentic coding workflows, GenAI-based code review and test generation) in a disciplined, production-grade way
Experience integrating AI capabilities (LLMs, agents, model-backed features) into production systems, including familiarity with Responsible AI principles and applying AI safety controls in production
Experience owning a feature area end-to-end, from design through deployment, monitoring, and on-call ownership
Experience designing and operating large-scale distributed data systems in a cloud environment (e.g., Azure), including data model and pipeline design, performance tuning, and cost optimization

Job Responsibility

Own the end-to-end engineering lifecycle for key components and services—designing, coding, testing, deploying, and operating solutions that are secure, reliable, and maintainable
Use AI tools across the full SDLC in a disciplined way. Own the quality of AI-generated requirements, designs, and code — yours and your teammates' — and apply Responsible AI practices
Build the training, feature, retrieval, grounding, and evaluation datasets that LLMs, and agents depend on. Partner with PM and engineering to make data contracts, freshness, drift signals, and offline/online consistency first-class concerns
Lead design discussions for your project area, evaluate tradeoffs across batch vs. streaming, warehouse vs. lakehouse, ELT vs. ETL, and storage choices for analytical, feature, and vector workloads. Own architectural decisions with minimal oversight
Partner with PM and engineering to define data requirements
ensure feedback loops on data quality, usage, model performance, and downstream product impact are in place
Write extensible, secure, performant code for pipelines, transformations, and supporting services. Apply modern patterns including GenAI-assisted development. Drive code reviews and best practices at the product level
Own the test strategy for your area, including data contract tests, schema validation, freshness checks, distribution and drift monitoring, and offline/online parity. Improve the test suite and use AI tools for test automation
Identify cross-team data dependencies, manage upstream producer and downstream consumer impact, and resolve conflicts when semantics or schemas change in ways that affect models or downstream products
Drive your workgroup's project and release plans. Break work into a roadmap including backfills, migrations, and model-impacting changes, and coach others on estimation

Fulltime

Senior Systems Engineer, R&D Business Systems

Fivetran is building data pipelines to power the modern data stack for thousands...

Location

Canada , Toronto

Salary:

125882.00 - 151064.50 CAD / Year

Fivetran

Expiration Date

Until further notice

Requirements

5+ years of experience in the software industry with a passion for solving complex system engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch, leveraging industry best practices
Proven experience developing integrations using APIs (REST/GraphQL), webhooks, and modern programming/scripting languages (Python, Java), and building systems leveraging low-code and full code solutions, and deploying them using modern CI/CD practices and ensuring observability
Strong proficiency in SQL, experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift), and experience with BI and data visualization tools such as Sigma, Looker Studio, Tableau, or Power BI
Experience building ground-up and deploying AI/ML-powered utilities or agents using LLMs (e.g., OpenAI, Claude, etc.) to automate code writing, documentation, or deliver intuitive and effective user-facing prototypes and full-scale solutions
Hands-on experience using, administering, and customizing core enterprise systems: Jira, Slack, Zendesk, Salesforce, Aha!, etc.
Excellent communication skills in English with the ability to bridge the gap between technical details and business outcomes
Experience working cross-functionally with global, engineering, product, design, and data analytics teams
Ability to independently drive complex projects, breaking down large-scale initiatives into phased deliverables that provide eminent value to users without compromising on the vision and overall OKRs

Job Responsibility

Lead the development of custom system solutions, tools, and dashboards that power the R&D operations and seamless data flow and process alignment across the Fivetran feature development lifecycle
Design, develop, and maintain bidirectional integrations between core platforms such as Jira, Zendesk, Salesforce, and other GTM and G&A Systems to streamline the feature development lifecycle and R&D operations
Create ground-up and maintain custom AI agents and internal tools to help engineering managers, product Managers and leadership quickly access relevant data, draft compelling technical requirements and design, synthesize customer feedback, and align with strategic goals and OKRs to improve operational efficiency and launch innovative products faster
Design and build production-grade backend services and integration workflows in Python and TypeScript
Define API contracts, data models, and integration patterns with strong attention to reliability, idempotency, and security
Write high-quality, tested code with clear standards for unit, integration, and end-to-end testing
Own observability, operational readiness, and production support for internal tools and data pipelines
Build maintainable React-based internal applications with strong UX, accessibility, and performance practices
Leverage AI assistants to streamline IDE-based development in real-time and Coding Agents, such as Claude Code, to automatically generate code for use cases such as incident resolution, feature development, testing, investigations, and documentation
Create comprehensive technical documentation for all integrations, data models, and deployed systems

What we offer

100% employer-paid medical insurance
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents

Fulltime

Senior Big Data Engineer - Assistant Vice President

The Senior Data Engineer (C12 – AVP) is a senior-level position responsible for ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

9–12 years of relevant experience in data analysis and data engineering, preferably within the Financial Services or Banking industry
Proven interpersonal, diplomatic, management, and prioritization skills
Consistently demonstrates clear and concise written and verbal communication
Proven ability to manage multiple activities, build strong working relationships, and work effectively under pressure
Demonstrated strong problem-solving, analytical, and decision-making skills with a methodical attention to detail
Proven self-motivation to take initiative and master new tasks and technologies quickly
Education: Bachelor's degree / University degree in a technical or business discipline (Computer Science, Information Systems, Engineering, Finance, or equivalent experience)
Functional Skillset: Data Analysis: Extensive experience in analyzing and interpreting complex data from disparate sources to provide actionable insights
Financial/Banking Domain Expertise: Strong understanding of financial products, banking processes, and industry standards
Data Requirements Definition: Proven ability to analyze different data sources and datasets to create comprehensive data mapping documents and define data ingestion requirements

Job Responsibility

Consult with users and clients to solve complex data-related issues through in-depth evaluation of business processes, data sources, and industry standards
Analyze large and diverse datasets from various sources to identify trends, patterns, and anomalies, providing critical input for business and technology initiatives
Develop and document data mapping specifications, transformation logic, and ingestion requirements for new data pipelines and systems
Consult with business clients to determine functional specifications for data-centric systems and provide ongoing operational support
Design and implement scalable data pipelines and batch/streaming workflows using Apache Spark, Spark Streaming, Hive, and Hadoop within enterprise big data ecosystems
Develop and maintain backend services and automation scripts using Java, Spring Boot, JPA, and Shell Scripting to support data processing and operational workflows
Build and manage event-driven data architectures leveraging Apache Kafka for real-time data ingestion and streaming use cases
Automate job scheduling and dependency management using Autosys
manage and optimize Oracle database objects and queries to support analytical workloads
Develop supporting interfaces and data visualization components using JavaScript to enhance data accessibility and reporting capabilities

Fulltime

Senior Bigdata Engineer -Assistant Vice President

The Senior Data Analyst is a senior-level position responsible for liaising betw...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-12 years of relevant experience in data analysis, preferably within the Financial Services or Banking industry
Proven interpersonal, diplomatic, management, and prioritization skills
Consistently demonstrates clear and concise written and verbal communication
Proven ability to manage multiple activities, build strong working relationships, and work effectively under pressure
Demonstrated strong problem-solving, analytical, and decision-making skills with a methodical attention to detail
Proven self-motivation to take initiative and master new tasks and technologies quickly
Bachelor's degree/University degree in a technical or business discipline (or equivalent experience)
Extensive experience in analyzing and interpreting complex data from disparate sources to provide actionable insights
Strong understanding of financial products, banking processes, and industry standards
Proven ability to analyze different data sources and datasets to create comprehensive data mapping documents and define data ingestion requirements

Job Responsibility

Formulate and define the scope and objectives for complex data analysis projects, fostering clear communication between business leaders and IT
Consult with users and clients to solve complex data-related issues through in-depth evaluation of business processes, data sources, and industry standards
Analyze large and diverse datasets from various sources to identify trends, patterns, and anomalies, providing critical input for business and technology initiatives
Develop and document data mapping specifications, transformation logic, and ingestion requirements for new data pipelines and systems
Consult with business clients to determine functional specifications for data-centric systems and provide ongoing operational support
Identify, communicate, and mitigate risks and impacts related to data quality, data governance, and the application of technology
Act as an advisor or coach to new or lower-level analysts and work as a team to achieve business objectives
Act as a Subject Matter Expert (SME) on data sources, data models, and analysis techniques for senior stakeholders and other team members
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

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Assistant Manager – Warehouse Java Operation

Job Description

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