Data Engineer (Data Visualization Dashboard) Job at Randstad (Kuala Lumpur)

Senior Data Engineer - Analytics and Visualization

As a senior Data Engineer on the ALSO backend team, you will drive technical exc...

Location

United States , Palo Alto

Salary:

165000.00 - 200000.00 USD / Year

ALSO

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering, analytics engineering, or analytics-focused roles with proven experience owning end-to-end analytics and visualization systems
Strong background working with large-scale telemetry and business data
Deep SQL expertise and strong Python (data pipelines, transformations, automation)
dbt or equivalent analytics transformation frameworks
Track record of improving data quality, metric reliability, and dashboard usability
AWS (S3, Glue, Athena, Redshift / Redshift Serverless, Lambda, EventBridge)
Databricks / Spark-based ecosystems
Orchestration tools (Airflow, MWAA, Step Functions, or similar)
Tableau, Power BI, Looker / Looker Studio (or equivalent) and experience building executive and self-serve dashboards
Strong opinions on visualization UX and metric storytelling

Job Responsibility

Design multi-level visualization experiences (exec → operational → deep-dive) and translate complex telemetry and business data into clear, intuitive visuals
Define visualization standards: metric definitions, charting patterns, UX clarity and Own dashboards as long-lived products, not one-off reports
Design and maintain analytics-layer data models (facts, dimensions, wide tables, semantic layers), Build performant datasets optimized for BI tools and large-scale querying
Partner with upstream engineers to shape event and telemetry schemas for downstream analytics, Optimize queries, storage, and compute for scale and cost efficiency in AWS
Define and enforce metric contracts across teams and Implement automated data quality checks (completeness, freshness, correctness)
Design pre- and post-pipeline validation frameworks and reduce metric drift and dashboard inconsistencies
Work cross functionally and turn ambiguous business questions into concrete metrics and dashboards
Influence without authority across multiple teams

What we offer

Robust health coverage
Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options
One Medical membership and dedicated insurance advocates
Rich fertility and family building benefits with Progyny
Flexible time off
401(k) match

Fulltime

Software Engineer / Data Engineer

We are looking for a Software Engineer / Data Engineer to build and enhance inte...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of relevant experience in software engineering, data engineering, or a closely related technical role
Strong backend development expertise in Python, with practical experience building production-grade services and data-driven applications
Hands-on experience with PySpark, Databricks, and AWS for data processing, platform development, and cloud-based deployment
Ability to work across multiple layers of technology, including APIs, databases, application logic, frontend components, and infrastructure
Familiarity with JavaScript or TypeScript and exposure to modern frontend frameworks such as React or Next.js
Experience developing solutions that incorporate large language models
broader machine learning knowledge is an advantage
Proven ability to translate loosely defined business or research needs into well-structured technical solutions

Job Responsibility

Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm
Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality
Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products
Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development
Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality
Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools
Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms

What we offer

medical, vision, dental, and life and disability insurance
company 401(k) plan
free online training

Full-Stack Data Engineer – Data & ML Automation (Databricks)

We are seeking a Fullstack Data Engineer who can operate at the intersection of ...

Location

India , Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Experience with CLI tools, scripts, and utilities for automating data platform workflows
Experience with Databricks APIs, Terraform, Databricks SDK
Experience designing integration tests, end-to-end pipeline tests, validation frameworks for Databricks ETL/ELT pipelines and ML inference workflows
Experience building internal applications using React, Streamlit, or similar frameworks
Experience with spec-driven development, coding agents and automation patterns, CI/CD workflows for data/ML systems

Job Responsibility

Develop CLI tools, scripts, and utilities to automate repetitive workflows across the data platform
Automate Databricks workflows, job deployments, environment provisioning, and MLOps operations using Databricks APIs, Terraform, Databricks SDK
Design and implement integration tests, end-to-end pipeline tests, validation frameworks for Databricks ETL/ELT pipelines and ML inference workflows
Improve reliability, observability, and overall engineering productivity across the data & ML team
Build quick internal applications using React, Streamlit, or similar frameworks to visualize data flows, provide model inference demos, enable operational or configuration controls
Develop internal productivity and monitoring dashboards
Apply best practices around spec-driven development, coding agents and automation patterns, CI/CD workflows for data/ML systems

Fulltime

Senior Data Engineer with Data Bricks

About the Role: Senior Data Engineer with Data Bricks position at Cigres Technol...

Location

India , Bengaluru

Salary:

Not provided

Cigres

Expiration Date

Until further notice

Requirements

Proficiency in Databricks and experience with Spark for big data processing
Strong experience with Power BI, particularly in building reports and dashboards using DAX
Solid programming skills in Python or Scala for developing data pipelines
Knowledge of SQL and experience with relational databases and data warehousing concepts
Familiarity with cloud platforms - Azure, particularly in relation to data storage and processing
Understanding of data modeling, ETL processes, and data integration methodologies
Excellent problem-solving skills and attention to detail
Strong communication and collaboration abilities to work effectively in a team-oriented environment
Experience: 5 to 9 Years

Job Responsibility

Design and implement scalable data processing solutions using Databricks, including ETL processes that efficiently handle large data volumes
Develop interactive dashboards and reports using Power BI to facilitate real-time data visualization and insights for stakeholders
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs and objectives
Optimize data storage and retrieval processes to enhance performance and reduce latency
Ensure data quality and integrity by implementing best practices for data governance and validation
Mentor junior data engineers and contribute to knowledge sharing within the team
Stay updated with the latest trends and technologies in data engineering, and evaluate their applicability to the organization's needs

Fulltime

New

Data Engineer

Location

Malaysia , Gelang Patah

Salary:

Not provided

PerkinElmer

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent work experience
Expert-level proficiency in Microsoft SQL Server, including complex query writing, performance tuning, stored procedures, CTEs, window functions, and view creation in production environments
Demonstrated ability to read and interpret complex, multi-layered SQL queries and understand underlying data structures
3+ years experience creating and managing Python data pipelines and ETL for analytics use cases
3+ years of hands-on Power BI development experience, including report building, data modeling, DAX authoring, and managing connections across a large number of diverse data sources
Proven ability to gather and translate business requirements into functional data and reporting solutions.

Job Responsibility

Manage, maintain, and continuously improve a portfolio of 40+ Power BI reports connected to 100+ data sources, ensuring data accuracy, performance optimization, and alignment with business needs
Collaborate with business stakeholders from Operations, Production, Engineering, Quality, Planning, Procurement, Service, Logistics and IT, to gather, analyze, and document reporting requirements, translating them into technical specifications
Architect and create SQL views and queries to support data models, reporting layers, and downstream analytics
Read, interpret, and refactor complex data pipelines to improve performance, readability, and maintainability across existing data infrastructure
Maintain and improve Python data pipeline scripts that extract, transform, and load data between SAP, Salesforce, ServiceMax, SFTP, Email, and MES systems, ensuring reliability and performance
Build and publish new Power BI reports and dashboards from initial requirements through final delivery, including data modeling, DAX measures, and visual design
Manage, monitor and troubleshoot PowerBI gateway, report refresh failures, data discrepancies, and pipeline issues
drive resolution in a timely manner
Document data pipelines, SQL views, and report logic to ensure knowledge transfer and sustainability of the reporting environment
Experience designing, implementing, and configuring both public and private API endpoints to enable seamless system integrations and scalable solutions.

New

Senior Data Engineer (ETL/Big Data/Python) - Assistant Vice President

CITI Bank Enterprise Analytical Services organization is seeking a highly skille...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field
8+ years of experience in data engineering, software development, or a similar role, with at least 2 years in a lead capacity
Proven experience with ETL pipeline design and development
Expert proficiency in Python and Spark
Strong experience with advanced scripting
Deep knowledge of relational databases (Oracle) and NoSQL databases (MongoDB), Snowflake
Solid understanding of data modeling, data warehousing, and performance tuning
Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions)
Experience with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK Stack, Splunk, Datadog)
Excellent problem-solving and analytical skills, with a keen eye for detail

Job Responsibility

Design, develop, and implement ETL based reporting framework, focusing on data collection, transformation, and presentation
Utilize a robust technology stack including Databricks, Spark, Hive, Ozone, and Hadoop to process large volumes of data efficiently
Write and optimize complex ETL jobs using PySpark and advanced Python scripting
Design and manage data storage in various databases, including Oracle, MongoDB and Snowflake for flexible data models
Develop and maintain automated job schedules using Autosys, Apache Airflow for seamless data pipeline execution
Ability to develop visualization reporting dashboards
Able to leverage enterprise approved productivity tools like Copilot, etc., in daily analysis & development tasks
Act as the technical subject matter expert (SME) for the reporting framework, providing guidance and mentorship to the development team
Lead requirements gathering discussions with business stakeholders and product owners to understand reporting needs and translate them into technical solutions
Coordinate closely with the QA team to ensure thorough testing and data validation, maintaining high standards of data accuracy and integrity

Fulltime

New

Senior Software Engineer - Data (Python, AWS)

Location

Austria , Vienna

Salary:

Not provided

Sportradar

Expiration Date

Until further notice

Requirements

5+ years of data engineering experience with proven track record of leading complex data projects from conception to delivery
Exceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders
AWS & Data Engineering: Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing
Backend Development: Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics
Infrastructure & DevOps: Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems
Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements
Data Architecture: Experience designing scalable data architectures, data modeling, and optimizing data processing workflows
Dashboard Development: Experience creating and managing analytics dashboards in bi tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions to present complex insights to stakeholders
GenAI Tools (beneficial): Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants

Job Responsibility

Scale & Performance Engineering: Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily
Data Pipeline Architecture & Development: Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows that support both batch and real-time analytics requirements, and managing user-facing dashboards that visualize complex data insights
Infrastructure & Data Quality Operations: Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across data processing systems
Cross-Functional Leadership & Collaboration: Leading large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively
End-to-End Data System Ownership: Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right data solutions

What we offer

Collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US)
Ability to shape your own workday and career via a clearly defined professional and personal development plan
Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment
Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
Company culture that promotes social aspects, sports, physical exercise and fun
Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions
Competitive salary and benefits (e.g. retirement pension and insurance plan)
Sportradar takes over the full costs of € 365.- for the Öffi-Ticket (Jahreskarte) for you

Fulltime

New

Senior Software Engineer, Data

ABOUT US: The Ads Analytics team is the backbone of our advertising intelligence...

Location

Austria , Vienna

Salary:

Not provided

Sportradar

Expiration Date

Until further notice

Requirements

5+ years of data engineering experience with proven track record of leading complex data projects from conception to delivery
Exceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders
AWS & Data Engineering: Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing
Backend Development: Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics
Infrastructure & DevOps: Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems
Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements
Data Architecture: Experience designing scalable data architectures, data modeling, and optimizing data processing workflows
Dashboard Development: Experience creating and managing analytics dashboards in bi tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions to present complex insights to stakeholders
GenAI Tools (beneficial): Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants

Job Responsibility

Scale & Performance Engineering: Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily
Data Pipeline Architecture & Development: Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows that support both batch and real-time analytics requirements, and managing user-facing dashboards that visualize complex data insights
Infrastructure & Data Quality Operations: Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across data processing systems
Cross-Functional Leadership & Collaboration: Leading large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively
End-to-End Data System Ownership: Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right data solutions

What we offer

A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US)
Ability to shape your own workday and career via a clearly defined professional and personal development plan
Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment
A vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
A company culture that promotes social aspects, sports, physical exercise and fun
Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions
Competitive salary and benefits (e.g. retirement pension and insurance plan)
Sportradar takes over the full costs of € 365.- for the Öffi-Ticket (Jahreskarte) for you

Fulltime

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Data Engineer (Data Visualization Dashboard)

Job Description

Job Responsibility

Requirements

What we offer

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