Python Developer

We are looking for a skilled Python, SQL, and ETL Developer to design, build, and maintain scalable data pipelines and data integration solutions. The ideal candidate will work closely with data engineers, analysts, and business stakeholders to ensure reliable, high‑quality data delivery for reporting, analytics, and downstream applications.

Responsibilities

Develop, maintain, and optimize ETL pipelines to ingest, transform, and load data from multiple sources

Write efficient, scalable, and well-documented Python scripts for data processing and automation

Design and optimize complex SQL queries, views, and stored procedures for performance and accuracy

Perform data validation, quality checks, and reconciliation to ensure data integrity

Troubleshoot and resolve data pipeline failures and performance issues

Collaborate with data analysts, data scientists, and business teams to understand data requirements

Implement best practices for data security, governance, and compliance

Maintain technical documentation for ETL workflows and data models

Technical requirements

Strong proficiency in Python (data manipulation, scripting, automation)

Advanced knowledge of SQL (joins, subqueries, window functions, performance tuning)

Hands-on experience with ETL/ELT tools or frameworks

Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle)

Solid understanding of data warehousing concepts (fact/dimension tables, star schema)

Ability to work with large datasets and optimize data processing workflows

Strong analytical, problem-solving, and debugging skills

Additional responsibilities

Experience with cloud platforms (AWS, Azure, or GCP)

Familiarity with big data technologies (Spark, Hadoop)

Exposure to workflow schedulers (Airflow, Prefect, Cron)

Knowledge of CI/CD pipelines and version control (Git)

Understanding of data governance and lineage tools

Education

Bachelor of Engineering