AWS 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
- Work closely with Business Intelligence Analysts and Stakeholders to identify reporting needs, metrics, data assets and systems.
- Support the modeling and creation of datasets using AWS Infrastructure (Glue, Lambda), Python, SQL to be then used for self-service dashboard reports.
- Build knowledge about all the datasets inside the data lake to be able to provide guidance to other engineers and/or stakeholders
- Streamline data preparation and processes for maximum automation and efficiency whilst supporting environment migrations where required
- Analyze, organize, segment, and disseminate raw or unprocessed data based on business needs.
- Be the key anchor for data extraction, preparation, and hosting processes.
- Create master data files from disparate data sources by building data pipeline
- Develop and test architecture for data extraction
- Provide continuous connectivity to a master data source and access to refreshed data
- Ensure data quality and reliability
- Data expert for datasets
What your background should look like:
- 3+ years of Data Engineering experience in ETL design, development, optimization & testing using SQL, Python, AWS Services (Lambda, Glue, Redshift, S3)
- 3+ Complex SQL Tuning, Stored Procedures, Data Warehousing best practices etc.
- 3+ years of experience in relational or Cloud database design, optimization, and performance; preferably with AWS Redshift/Aurora, SAP HANA, and Oracle.
- Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
- Experience with creation of solution, project documentation
- Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
- Willingness to flex daily work schedule to allow for time-zone differences for global team communications.
- Strong interpersonal and communication skills.
Competencies
Bangalore, KA, IN, 560076
Job Segment:
Data Warehouse, Database, SQL, Business Intelligence, Oracle, Technology