Senior Data Engineer

Job Title: Data Engineer (Snowflake Expert)

Location: Pune, Maharashtra

Job Type: [Full-Time]

Experience Level: [Mid-Level ]

Job Summary:

Data Engineer

DB

ETL Tools

Integration Tools

Orchestration Tools

Key Responsibilities:

• Design, develop, and maintain

  data pipelines and ETL/ELT processes

   using

  Snowflake

   as the primary data platform.
• Write complex and optimized

  SQL scripts

   for data transformation, aggregation, and analysis.
• Implement and manage

  Snowflake features

   such as virtual warehouses, streams, tasks, data sharing, and secure data access.
• Build and maintain data models and schemas (Star, Snowflake, Data Vault) to support analytics and reporting needs.
• Work with business analysts and stakeholders to gather data requirements and deliver solutions that meet business objectives.
• Integrate Snowflake with upstream and downstream systems using tools like

  dbt, Airflow, Fivetran, Informatica, or Azure Data Factory

  .
• Ensure

  data quality, governance, and security

   standards are enforced across pipelines and environments.
• Monitor, troubleshoot, and optimize performance of Snowflake workloads and data pipelines.

Required Qualifications:

• Bachelors or Master’s degree in Computer Science, Data Engineering, or a related field.

• 4+ years

   of experience as a Data Engineer or in a data-intensive role.

• Strong Snowflake expertise

   including advanced features (Time Travel, Cloning, Streams & Tasks, External Tables).
• Proficiency in

  SQL scripting

   and performance tuning.
• Experience with

  cloud platforms

   (AWS, Azure, or GCP) and data integration tools.
• Strong understanding of

  data warehousing concepts, data modeling, and modern data architectures

  .
• Knowledge of

  ETL/ELT processes

   and best practices.

Preferred Skills:

• Experience with

  dbt (Data Build Tool)

   for transformation pipelines.
• Familiarity with orchestration tools like

  Airflow, Dagster, or Prefect

  .
• Exposure to

  BI tools

   such as Power BI, Tableau, or Looker.
• Experience with

  Python, Spark, or Scala

   for data processing.
• Understanding of

  data security, compliance, and governance frameworks

   (e.g., GDPR, HIPAA).