Data Engineer

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 strong 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