Role Overview:

We are seeking a skilled Data Engineer with hands-on experience in Snowflake, AWS, and Databricks or Microsoft Fabric to build and maintain scalable data platforms and data pipelines. You will work closely with analytics, product, and engineering teams to deliver reliable, high-performance, and scalable data solutions.

Key Responsibilities:

- Design, develop, and maintain scalable ETL/ELT pipelines on cloud platforms.
- Build and optimize data workflows using Snowflake, AWS services, and/or Databricks / Microsoft Fabric.
- Design and implement efficient data models and data warehouse solutions in Snowflake.
- Develop data ingestion frameworks for batch and real-time processing.
- Work with large-scale structured and unstructured datasets.
- Ensure high data quality, reliability, and performance.
- Collaborate with cross-functional teams to gather and translate business requirements.
- Implement data models to support analytics and reporting.
- Monitor, troubleshoot, and optimize data pipelines and Snowflake workloads.




- Follow best practices for version control, testing, and CI/CD.

Required Skills & Qualifications:

- 36 years of experience in Data Engineering.
- Strong hands-on experience with Snowflake including:
- Data Warehousing
- Snowpipe
- Streams & Tasks
- Performance Tuning
- Data Sharing
- Security & Access Management
- Solid hands-on experience with AWS (S3, Glue, Lambda, Redshift, Step Functions).
- Experience with Databricks (Spark, Delta Lake) or Microsoft Fabric (Data Factory, Lakehouse, Synapse).
- Proficiency in Python and SQL.
- Experience with PySpark / Apache Spark.
- Solid understanding of data warehousing, dimensional modeling, and data modeling concepts.
- Experience designing and optimizing cloud-based data warehouse solutions.
- Familiarity with orchestration tools such as Airflow or AWS Step Functions.
- Experience working with large datasets and distributed systems.

📌 Data Engineer (Navi Mumbai)
🏢 V2Solutions
📍 Navi Mumbai