Data Engineer
Summary
Design and implement scalable, secure enterprise data architectures, including modern data warehouses, data lakes, and cloud-based data platforms. Day-to-day work centers on ETL/ELT pipelines, batch and real-time integration, and data modeling using Azure, ADF, Databricks, big data tools, and AWS, with 4-5 years of experience required.
Role Description: Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement and also architect modern data warehouse, data lakes, and cloud-based data plat form using ETL, Azure, ADF, Databricks, big data and AWS.
Required Skill Set:
- Minimum 4-5 years of experience in ETL, Azure, ADF, Databricks, Bigdata, AWS.
- Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement.
- Develop conceptual, logical, and physical data models to support operational and anlytical system.
- Architect modern data warehouses, data lakes, and cloud-based data.
- Define data integration strategies, including ETLELT pipelines, batch processing and real-time.
- Evaluate and recommend data technologies platforms, and architectural solution based on business needs.
“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”