Senior Data Engineer - Azure Databricks / PySpark

Data Engineer

Location : Multiple Locations in India

Job Type : [Full-Time / Hybrid]

Experience required : 3+ years in Data Engineering

Job Description :

We are seeking a skilled Data Engineer with strong expertise in Snowflake and SQL to join

our data team. The ideal candidate will have hands-on experience designing and developing

robust ETL / ELT pipelines, working with cloud platforms like AWS or Azure, and contributing

to the overall data architecture and strategy.

Key Responsibilities :

Design, develop, and maintain efficient ETL / ELT pipelines using Snowflake and other

data engineering tools.

Utilize Snowflake features and best practices to optimize performance with cross-functional teams to gather requirements and deliver and maintain data integration workflows with various sources.

Ensure data quality, governance, and security standards are met.

Provide support for data warehousing, modelling, and analytics initiatives.

Must-Have Skills :

Proficiency in Snowflake and SQL.

Minimum 4 years of experience in Data Engineering.

At least 3 years of hands-on experience with AWS or Azure cloud platforms.

Strong understanding of Snowflake architecture, performance tuning, and working with ETL / ELT tools and data integration frameworks.

Excellent verbal and written communication skills.

Good-to-Have Skills :

Familiarity with DNA / Fiserv core banking system.

Knowledge of data governance, security, and compliance standards

(ref : hirist.tech)