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Lead Data Engineer

4 months ago

Thiruvananthapuram, India Nissan Motor Full time

Responsibilities: 

Collaborate with product / business owners through the product/project lifecycle and develop data engineering solutions aligning to Nissan's data strategy. Lead a team of data engineers and guide them during the development lifecycle. Work with solution and Data architect to resolve any technical and architectural challenges during the implementation. Design and develop various components of data pipeline that include data ingestion, data processing and analysis of business data. Create high level and low-level design for the module. Lead scoping effort, provide inputs in preparing effort, and time estimates for projects. Develop medium to complex modules using coding standards and guidelines. Build reusable components/frameworks. Perform Code review and maintain code review standards Follow best practices of agile & DevOps while implementing solutions.

Skills and Qualifications:

The ideal candidate should have worked on end-to-end data warehousing, data lake solutions in cloud platforms(AWS).

The candidate should have the following skills sets:

Strong data engineering (ETL) experience in cloud preferably in AWS.AWS Certification (developer/Devops/SA) preferred. Excellent understanding of distributed computing paradigm. Should have excellent experience in data warehouse and data lake implementation. Should have excellent experience in Relational databases,ETL design patterns and ETL development. Should have excellent experience in CICD frameworks and container-based deployments. Should have excellent programming and SQL skills. Should have good exposure to No-SQL and Big Data technologies. Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies: Data integration/Engineering – ETL tools like Talend, ETL ,AWS Glue etc. Experience in Talend Cloud ETL will be plus. Data warehouse - Snowflake and or AWS Redshift.Experience in Snowflake cloud DWH would be an advantage. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Programming - Java/Python/Scala and SQL. Data visualization – Tools like Tableau, Quicksight. Master data management (MDM) – Concepts and experience in tools like Informatica & Talend MDM. Exposure to Big data – Hadoop eco-system, AWS EMR. Exposure to Big Data processing frameworks – Kinesis, Spark & Spark streaming Demonstrate strong analytical and problem solving capability Good understanding of the data eco-system, both current and future data trends. Should be a go to person for the above technologies

Drive your career forward and join the company leading the technology and business evolution in the automotive industry.

Trivandrum Kerala India