- We are seeking an experienced Data Engineer with 4-12 years of experience in designing, developing, and maintaining scalable cloud-based data platforms for enterprise applications
- The ideal candidate should have robust hands-on expertise in Snowflake, Databricks, dbt, Apache Spark, PySpark, Python, and advanced SQL, along with experience building modern Lakehouse (Medallion) architectures and high-performance ETL/ELT data pipelines
- The role involves designing and optimizing batch, streaming, CDC, event-driven, and API-based data ingestion frameworks, implementing robust data transformation workflows using dbt, and developing scalable distributed data processing solutions with Spark and Databricks
- Candidates should have experience with Apache Airflow or Azure Data Factory, cloud platforms such as AWS, Azure, or GCP, CI/CD automation,



Git version control, and data quality frameworks such as Great Expectations or dbt tests
- The candidate will collaborate with Data Scientists, AI Engineers, Business Analysts, and client stakeholders to deliver secure, governed, and reliable data solutions while supporting AI/GenAI initiatives through high-quality datasets and data pipelines for RAG-based applications
- Strong knowledge of data modeling, cloud-native data architectures, performance optimization, governance, security, and problem-solving skills is essential.

Location - Mumbai,Delhi / NCR,Bengaluru,Kolkata,Chennai,Hyderabad,Ahmedabad,Pune,Remote

📌 Data Engineer (Mumbai)
🏢 Evnek
📍 Mumbai