Data Installation Engineer Job at 360 Resourcing Solutions (Sheffield)

Data Engineer - Big Data, Python, Databricks

The Applications Development Intermediate Programmer Analyst is an intermediate ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4 - 6 years of relevant experience in the Financial Service industry
Intermediate level experience in Applications Development role
Proficient in Big DataTechnologies - Cloudera, Hive, Python, Java/PySpark, Data Bricks
Proficient in Data analysis and data modelling
Good understanding of ETL concepts
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

Job Responsibility

Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
Apply fundamental knowledge of programming languages for design specifications
Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
Serve as advisor or coach to new or lower level analysts
Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

Data Engineer (Big Data, Python, Databricks) - Assistant Vice President

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Chennai, Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of relevant handson experience in Big Data technologies like Cloudera, Python, HQL, Java/PySpark
Knowledge on Machine Learning, AI would be added advantage
Experience in systems analysis, data analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

Data Engineer Big Data Technology

The Applications Development Intermediate Programmer Analyst is an intermediate ...

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4-6 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/)
4-6 years of relevant experience in the Financial Service industry
Experienced in working with large and multiple datasets and data warehouses
Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira

Job Responsibility

Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
Apply fundamental knowledge of programming languages for design specifications
Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
Serve as advisor or coach to new or lower level analysts
Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or 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

Data Engineer Lead (OT Data)

Data Engineer (OT Data) (Category - Engineer) Sector: Oil and Gas Location: Doha...

Location

Qatar , Doha

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor's in engineering, Information Systems, or a related quantitative field
5+ years of proven experience in a data engineering role
Experience within oil and gas industry is highly preferred
Demonstrable experience building and operationalizing large-scale data pipelines and applications

Job Responsibility

Architect & Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines
Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors
Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data
Data Modelling & Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics
Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data
Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise
Ensure Data Quality & Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies
Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU™ Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle
Collaborate & Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions
Automate & Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness

Fulltime

New

Data Engineer (GCP + Python)- VOIS

We are seeking an experienced Cloud Migration Technical Project Manager to lead ...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Skilled in cloud platform migrations, including Azure, AWS, or managed instances
Strong analytical, troubleshooting, and problem-solving abilities
Knowledgeable in compliance and governance standards such as GDPR
Effective communicator with the ability to collaborate across teams
Experienced in platform migration methodologies and industry-standard migration tools
Certified in cloud platforms (Azure, AWS, or GCP)
Proficient in infrastructure technologies such as Linux, VMware, and vCentre
Familiar with ITIL frameworks and IT service management principles
Able to build strong stakeholder relationships and deliver outcomes reliably

Job Responsibility

Manage full lifecycle migration of virtual machines, databases, applications, and data to Azure using tools such as Azure Migrate, Azure Site Recovery, and Database Migration Service
Collaborate with developers, database administrators, system administrators, and cross‑functional teams to ensure seamless migration execution
Monitor post‑migration performance, security, and system reliability
Troubleshoot and resolve migration‑related issues and conduct detailed root cause analysis
Deliver clear documentation and knowledge transfer to support ongoing maintenance
Perform L3‑level administration activities including installation, configuration, monitoring, and maintenance of infrastructure systems
Conduct vulnerability assessments and implement remediation actions to ensure compliance with security standards
Apply OS security hardening techniques aligned with company and industry best practices
Use scripting languages such as Bash or Python to automate activities and support enterprise automation initiatives

What we offer

Opportunity to work with leading cloud technologies and enterprise-scale migration projects
Exposure to cross-functional collaboration and advanced infrastructure environments
Growth in cloud certification pathways and technical expertise
A dynamic, technology-driven environment fostering innovation and professional development
Ability to influence cloud adoption and modernisation initiatives within a global organisation

Data Engineer

The Data Engineer is a seasoned subject matter expert, responsible for the trans...

Location

Thailand , Bangkok

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities
Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Seasoned understanding of data architecture landscape between physical and logical data models
Analytical mindset with excellent business acumen skills
Problem-solving aptitude with the ability to communicate effectively, both written and verbal
Ability to build effective relationships at all levels within the organization
Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Relevant certifications preferred such as SAP, Microsoft Azure etc.

Job Responsibility

Creates data models in a structured data format to enable analysis thereof
Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
Participates in the transformation of object and data models into appropriate database schemas within design constraints
Interprets installation standards to meet project needs and produce database components as required
Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems
Works across multiple IT and business teams to define and implement data table structures and data models based on requirements
Accountable for analysis, and development of ETL and migration documentation
Collaborates with various stakeholders to evaluate potential data requirements
Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives

Fulltime

Lead Data Engineer

Rapid7 is seeking a Data Engineer, Data Engineering & Analytics to join a high-p...

Location

India , Pune

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering, analytics, or business intelligence
8+ years experience designing, implementing, operating, and extending enterprise dimensional data models
3+ years experience building reports and dashboards in Tableau and/or other similar data visualization tools
Experience in DBT modeling and understanding modular, performant models
Solid understanding of Snowflake, SQL, and data warehouse management
Understanding of ETL/ELT processes, data pipelines, and cloud-based data architectures
Familiarity with modern data stacks (DBT, Airflow, Fivetran, Matillion, or similar tools)
Hands-on experience building and operating cloud infrastructure on AWS
Experience managing software installations, upgrades, and configuration in production environments
Ability to manage data governance, security, and compliance requirements (SOC 2, GDPR, etc.)

Job Responsibility

Implement data modeling best practices to enhance data accessibility and reporting capabilities
Ensure data integrity, security, and compliance with industry standards and regulations
Document plans and results in user-stories, issues, PRs, the team’s handbook - following the tradition of documentation first
Implement the Corp Data philosophy in everything you do
Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment
Maintain and advocate for these standards through code review
Collaborate with IT and DevOps teams to optimize cloud infrastructure and data governance policies
Manage and enhance the existing Tableau reporting suite, ensuring self-service analytics and actionable insights for stakeholders
Design, develop, and extend DBT code repository to extend the Enterprise Dimensional Warehouse capabilities and infrastructure
Develop and maintain a single source of truth for business metrics, ensuring consistency across reporting platforms

Fulltime

Data Engineer

The Associate Data Engineer is an entry level role within the Data Engineering j...

Location

Malaysia , Selangor Darul Ehsan, Selangor

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Knowledge of the definition and management of scoping requirements, definition and prioritization activities
Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Understanding of data architecture landscape between physical and logical data models
Analytical mindset with good business acumen skills
Problem-solving aptitude with the ability to communicate effectively, both written and verbal
Ability to build effective relationships at all levels within the organization
Programming languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Basic experience as a data engineering, data mining within a fast-paced environment

Job Responsibility

Supports the creation of data models in a structured data format to enable analysis thereof
Assists with the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
Participates in the transformation of object and data models into appropriate database schemas within design constraints. Interpret installation standards to meet project needs and produce database components as required
Takes direction from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Assists with running data migrations across different databases and applications, for example, MS Dynamics, Oracle, SAP and other ERP systems
Supports the definition and implementation of data table structures and data models based on requirements
Takes part in analysis, and development of ETL and migration documentation
Receives detailed instructions from various stakeholders to evaluate potential data requirements
Assists with the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
Takes direction from various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models

Fulltime

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Data Installation Engineer

Job Description

Job Responsibility

Requirements

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