Pyspark Developer

Role: Experience: 4–7 Years

Location: Gurgaon

No. of position: 3

Job Summary: We are looking for a skilled PySpark Developer with 4–6 years of experience in building scalable data pipelines and transforming large datasets. The ideal candidate should have strong hands-on experience in PySpark, and up-to-date data warehouse environments.

Key Responsibilities

 Develop, optimize, and maintain scalable data pipelines using PySpark .

 Design and implement data transformation workflows.  Build and manage data models in cloud-based data warehouses.

 Perform data validation, transformation, and cleansing.

 Optimize performance of Spark jobs and DBT models.

 Work closely with Data Engineers, Analysts, and Business teams to understand data requirements.

 Ensure data quality, governance, and best practices.

 Troubleshoot and resolve production issues.

Required Skills:





 4–7 years of experience in Data Engineering.

 Strong hands-on experience in PySpark.

 Experience with SQL and data modelling concepts.

 Hands-on experience with cloud platforms like AWS / Azure / GCP .

 Experience with data warehouses such as S nowflake, Redshift, BigQuery, or Azure Synaps e.

 Understanding of ETL/ELT concepts.

 Familiarity with version control tools like Git.

Good to Have:

 Experience with Airflow or other orchestration tools.

 Knowledge of CI/CD pipelines.

 Understanding of Agile methodology.

 Experience in handling large-scale distributed datasets.

interested candidates can share their CVs to [email protected]

📌 Pyspark Developer (Gurugram)
🏢 The Merakki Zone
📍 Gurugram