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 strong Data Engineers with contemporary cloud data platform experience and hands-on expertise in Snowflake and/or Databricks.

📌 Sr Data Engineer (Ahmedabad)
🏢 Inferenz
📍 Ahmedabad