Snowflake Azure Data Engineer-

Job Location

• Kolkata
• Chennai
• Pune
• Bangalore
• Gurugram

Experience

• 6 to 14 years

Notice Period

• 30 days / 60 days / 90 days

Primary Roles and Responsibilities

• Developing Modern Data Warehouse solutions using Snowflake, Databricks and ADF.
• Ability to provide solutions that are forward‑thinking in data engineering and analytics space.
• Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
• Triage issues to find gaps in existing pipelines and fix the issues.
• Work with business to understand the need in the reporting layer and develop a data model to fulfill reporting needs.
• Help joiner team members to resolve issues and technical challenges.
• Drive technical discussions with client architect and team members.
• Orchestrate the data pipelines in the scheduler via Airflow.

Skills and Qualifications

• Bachelor's and/or master’s degree in computer science or equivalent experience.
• Must have total 3+ years of IT experience and 2+ years' experience in Data warehouse/ETL projects.
• Expertise in Snowflake security, Snowflake SQL and designing/implementing other Snowflake objects.
• Hands‑on experience with Snowflake utilities, SnowSQL, Snowpipe, Snowsight and Snowflake connectors.
• Deep understanding of Star and Snowflake dimensional modeling.
• Strong knowledge of Data Management principles.
• Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture.
• Should have hands‑on experience in SQL and Spark (PySpark).
• Experience in building ETL / data warehouse transformation processes.
• Experience with Open Source non‑relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J).
• Experience working with structured and unstructured data including imaging & geospatial data.
• Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting and query optimization.
• Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
• Comfortable working in a dynamic, fast‑paced, innovative environment with several ongoing concurrent projects.
• Should have experience working in Agile methodology.
• Strong verbal and written communication skills.
• Strong analytical and problem‑solving skills with a high attention to detail.

Mandatory Skills

• Snowflake
• Azure Data Factory