Data Engineer

Title : Data Engineer - PySpark

About CentricaSoft :

CentricaSoft is a data-driven technology partner delivering end-to-end data solutions for our clients. We design, build, and scale modern data platforms that empower business decisions. We’re growing our data engineering team and seeking a hands-on PySpark Developer who thrives in a fast-paced, collaborative environment.

Role Summary

We are looking for a PySpark Developer with solid AWS or Azure or GCP experience and in-depth knowledge of CI / CD pipelines with Parquet / JSON / Avro / Iceberg / Databricks. The candidate will work on multiple ETL data processing integrations, including API data pulls, Database extracts, and handling semi-structured data. Strong SQL skills and excellent communication are essential.

Atleast 1 Cloud certification from AWS (preferable) or Azure or GCP in Data Engineer area,

Key Responsibilities

• Develop, optimize, and maintain PySpark-based data processing pipelines for large-scale data workloads.
• Design and implement ETL / ELT processes, including API data ingestion, database extracts, and ingestion of semi-structured data (JSON, Parquet, Avro, etc.).
• Build and maintain CI / CD pipelines for data engineering workloads (code, tests, deployments, and monitoring) with data quality checks, logging, and error handling to ensure robust data pipelines.
• Optimize SQL queries and data models for performance and scalability.
• Contribute to documentation, best practices, and knowledge sharing within the team.

Qualifications

Certifications :

Atleast 1 Cloud certifications from AWS or Azure in Data Engineer area ,

Nice-to-have

What We Offer