CentricaSoft is seeking an experienced Data Engineer to join our team and help design, build, and maintain scalable data solutions supporting enterprise analytics and AI/ML workloads.

Key Responsibilities
Design, build, and maintain scalable and reliable data pipelines .
Develop and optimize ETL/ELT workflows for enterprise data integration.
Build and maintain solutions for Data Warehouses, Data Lakes, and analytical workloads .
Design efficient data models to support analytics and business intelligence requirements.
Work with large datasets using Python, PySpark, and distributed data processing frameworks .
Ensure data quality, reliability, security, and performance across data platforms.
Support data analytics requirements, including data querying, reporting, dashboards, and BI use cases .
Contribute to automation, documentation, data governance, and engineering best practices .
Collaborate effectively with technical teams, business stakeholders, and cross-functional teams.

Required Skills & Qualifications




5+ years of experience in Data Engineering or a closely related area.
Solid hands-on experience with Python and PySpark .
Advanced SQL skills, including complex queries, transformations, and performance optimization.
Solid experience with ETL/ELT and data integration ;
Hands-on experience with Databricks and/or Snowflake .
Robust understanding of Data Engineering and Data Modelling concepts.
Experience building and maintaining data pipelines, data warehouses, and data lakes .
Exposure to AWS, Azure, or GCP and cloud-native data services is preferred.
Understanding of data governance, security, compliance, and data quality best practices .
Exceptional Communication (Mandatory): Top-tier verbal and written communication skills are an absolute must.

Candidates must hold at least one recognized Data Engineering certification , preferably related to Databricks, Snowflake, AWS, Azure, or GCP .

📌 Data Engineer Kolkata Metropolitan Area (India)
🏢 CentricaSoft
📍 India