Data Engineer

Who are we

Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.

About the role

We are seeking a skilled Data Engineer who can independently design and build scalable data pipelines and contribute to end-to-end data platform development.

Key Responsibilities 

• Design and implement data pipelines using Databricks / Snowflake

• Develop scalable data transformations using PySpark / Spark SQL

• Optimize complex SQL queries and data models

• Build and maintain ETL/ELT workflows

• Integrate data from multiple sources (APIs, databases, streaming sources)

• Ensure data quality, governance, and performance tuning

• Collaborate with data analysts, scientists, and business stakeholders

• Participate in code reviews and mentor junior engineers

Required Skills Strong hands-on experience in SQL and Python Experience with Apache Spark ( PySpark preferred) Hands-on experience with Databricks or Snowflake Good understanding of data warehousing (Star/Snowflake schema) Experience with orchestration tools ( Airflow / ADF / Prefect ) Experience in cloud platforms (Azure / AWS / GCP)

Good to Have Experience with streaming technologies (Kafka / Spark Streaming) Exposure to CI/CD pipelines Knowledge of data governance and security best practices

Experience

6–8 years overall experience 

Databrick Certification is a plus