Senior Data Engineer

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

Job Overview

• Design and develop data lakes, manage data flows that integrate information from various sources into a common data lake platform through an ETL Tool
• Code and manage data lake implementations on S3 using technologies like Apache Hoodie or Databricks
• Triage, debug and fix technical issues related to Data Lakes
• Design and Develop Data warehouses for Scale
• Design and Evaluate Data Models (Star, Snowflake and Flattened)
• Design data access patterns for OLTP and OLAP based transactions.
• Coordinate with Business and Technical teams through all the phases in the software development life cycle
• Participate in making major technical and architectural decisions
• Maintain and Manage Code repositories like Git

What your background should look like:

• 5+ Years of Experience operating on AWS Cloud with building Data Lake architectures.
• 3+ Years of Experience with AWS Data services like S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS and Redshift
• Proficient in SQL programming to perform data validation/manupilations.
• Experience in performing Code optimization
• 3+ Years of Experience building Data Warehouses on Snowflake, Redshift etc.
• 3+ Years of Experience in building Delta Lakes using technologies like Apache Hoodie or Data bricks
• 3+ Years of Experience working on any ETL tools and technologies
• 3+ Years of Experience in any programming language (Python, R, Scala, Java)
• Bachelor’s degree in computer science, information technology, data science, data analytics or related field

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork