Work location : Pune (Working from office is mandatory IN office /Hybrid)

Experience : Overall IT exp of 6 to 12 years experience, with relevant experience as Data Engineer 4 yrs & above

Join us in building scalable data pipelines using Python- Pandas/Polars, SQL, Airflow, and Azure DevOps. If you love solving problems across diverse data sources (APIs, PDFs, web scraping) and working hands-on with pandas/polars, SQL, and test automation.

Tech stack :

Main/essential : Python, Pandas and/or Polars Essential, Web Scraping, including using Selenium, SQL, Azure DevOps and Airflow

Additional : Databricks, AWS, Jenkins, ADO Pipelines

Key Responsibilities :

- Design, build, and maintain pipelines in Python to collect data from a wide range of sources (APIs, SFTP servers, websites, emails, PDFs, etc.)

- Deploy and orchestrate workflows using Apache Airflow

- Perform web scraping using libraries like requests, BeautifulSoup, Selenium

- Handle structured, semi-structured, and unstructured data efficiently

- Transform datasets using pandas and/or polars

- Write unit and component tests using pytest

- Collaborate with platform teams to improve the data scraping framework

- Query and analyze data using SQL (PostgreSQL, MSSQL, Databricks)

- Conduct code reviews, support best practices, and improve coding standards across the team

- Manage and maintain CI/CD pipelines (Azure DevOps Pipelines, Jenkins)

Required Skills & Experience :

- Proficient in Python, with deep experience using pandas or polars

- Strong understanding of ETL development, data extraction, and transformation

- Hands-on experience with SQL and querying large datasets

- Experience deploying workflows on Apache Airflow

- Familiar with web scraping techniques (Selenium is a plus)

- Comfortable working with various data formats and large-scale datasets

- Experience with Azure DevOps, including pipeline configuration and automation

- Familiarity with pytest or equivalent test frameworks

- Strong communication skills and a team-first attitude.

- Experience with Databricks

- Familiarity with AWS services

- Working knowledge of Jenkins and advanced ADO Pipelines