Bangalore, Karnataka, India
Information Technology
Full-Time
WPP Media
Overview
GroupM Nexus Offshore
Data Engineer - Manager, GroupM Nexus Global Team, India
Overview Of Job
GroupM is the world’s largest media investment company and are a part of WPP. In fact, we are
responsible for one in every three ads you see globally.
As the People Teams Data Engineer you will design, builds, and maintain the infrastructure and architecture that stores, process, and retrieve large datasets, ensuring data quality, security, and scalability.
Working closely with data professionals, business leaders, and data scientists, you will leverage data to drive excellence and support our organizational goals.
REPORTING OF THE ROLE
This role reports to the Global People Data & Analytics Director and will require the support of regional, team members to execute the data and analytics strategy.
Measures Of Success
IN THREE MONTHS
GroupM Nexus Offshore
KNOWLEDGE AND EXPERIENCE
GroupM provides equal employment opportunities to applicants and employees without regard for factors such as race, religion, national origin, colour, sex, sexual orientation, gender identity or expression, age, protected veteran status, disability, or other protected status.
GroupM Nexus Offshore
requisitionid:39846
Data Engineer - Manager, GroupM Nexus Global Team, India
Overview Of Job
GroupM is the world’s largest media investment company and are a part of WPP. In fact, we are
responsible for one in every three ads you see globally.
As the People Teams Data Engineer you will design, builds, and maintain the infrastructure and architecture that stores, process, and retrieve large datasets, ensuring data quality, security, and scalability.
Working closely with data professionals, business leaders, and data scientists, you will leverage data to drive excellence and support our organizational goals.
REPORTING OF THE ROLE
This role reports to the Global People Data & Analytics Director and will require the support of regional, team members to execute the data and analytics strategy.
Measures Of Success
IN THREE MONTHS
- Partner with technical and non-technical teams to understand data and develop data pipelines with advance Azure Data Factory (Delta Live Tables, SQL/Python, Rest API) and maintain Data Warehousing/Data Lakes/Data Hubs and analytical reporting environment
- Design table structures and define ETL strategy to build performant Data solutions that are reliable and scalable in a growing data ecosystem
- Develop and maintain data pipeline routines using ETL and orchestration tools (such as Azure Data Factory, Azure Databricks, Data Stage, Airflow, Luigi, and Jenkins)
GroupM Nexus Offshore
- Develop automated processes, optimize data delivery, understand when to re-design architecture for greater scalability
- Develop data quality checks for source and target data sets and UAT plans and conduct QA.
- Design, build, and maintain large-scale data systems, including data warehouses, lakes, and pipelines.
- Develop and implement data infrastructure, such as databases, data processing frameworks, and data storage solutions.
- Ensure data quality, integrity, and security, and develop data governance policies and procedures.
- Work with data scientists and analysts to understand data requirements and develop solutions to meet their needs.
- Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources.
- Optimize data systems for performance, scalability, and reliability.
- Collaborate with cross-functional people teams, regional and business leads.
- Stay up-to-date with new technologies and tools in the field of data engineering.
- Develop and maintain documentation and best practices for data engineering.
- Troubleshoot and resolve data system issues and errors.
KNOWLEDGE AND EXPERIENCE
- Bachelor’s degree in computer science, Information Technology, or related field.
- Certified Data Engineer (CDE) or equivalent certifications would be a plus.
- Programming languages: Python, SQL
- Data storage: Relational databases, NoSQL databases, data warehouses
- Data processing: ETL, data pipelines, data streaming
- Cloud platforms: Azure (Azure Data Factory, Azure Databricks, Data Stage, Airflow)
- Agile development methodology
- 5+ years in data engineering, software engineering, or related field
- Experience with large-scale data systems and big data technologies
- Strong understanding of data modeling, data warehousing, and ETL processes
- Strong collaboration and communication skills
- Works to achieve operational targets with significant impact on department or job family results.
- May be responsible for managing entire projects or processes within job area.
- Operates with latitude for actions or decisions and usually works independently with occasional supervision required.
- Collaborates with peers and managers when faced with complex problems.
- May serve as a mentor / trainer or aids in reviewing the work of other professionals.
- Responsible for identifying and incorporating moderate improvements to guidelines and processes to enhance performance of job area.
- Proposes and develops fresh ideas and creative solutions to
GroupM provides equal employment opportunities to applicants and employees without regard for factors such as race, religion, national origin, colour, sex, sexual orientation, gender identity or expression, age, protected veteran status, disability, or other protected status.
GroupM Nexus Offshore
requisitionid:39846
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