Senior Data Engineer (Snowflake / Databricks)

Location:
Ahmedabad / Pune

Experience:
5+ Years Preference: Immediate Joiners Key Skills Required
• Hands-on experience in Snowflake or Databricks (one mandatory, other good to have)
• Strong expertise in ETL/ELT, Data Engineering, Data Modeling, and Data Warehousing
• Proficiency in SQL, Python, and PySpark
• Experience with Delta Lake/Lakehouse Architecture
• Hands-on experience with orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue
• Experience with AWS, Azure, or GCP
• Knowledge of Data Quality, CDC, Performance Tuning, and Pipeline Monitoring
• Familiarity with Git and CI/CD Good to Have
• Experience with both Snowflake and Databricks
• dbt, Kafka, Kinesis, or Pub/Sub
• Exposure to Power BI, Tableau, or Looker




• Knowledge of Terraform, Data Governance, and Security
• Exposure to AI/ML or Generative AI Role Responsibilities
• Design and develop scalable data pipelines and data solutions.
• Build and optimize ETL/ELT workflows.
• Develop data models and data warehouse/lakehouse solutions.
• Optimize SQL, PySpark, Snowflake, and Databricks workloads.
• Implement data quality, validation, and monitoring frameworks.
• Collaborate with business stakeholders, analysts, and data scientists. Looking for solid Data Engineers with modern cloud data platform experience and hands-on expertise in Snowflake and/or Databricks.

📌 Sr Data Engineer (Ahmedabad)
🏢 Inferenz
📍 Ahmedabad