Senior Python Developer - Data Pipelines - Full remote - Full remote - contractor in USD

For an international project in Chennai, we are urgently looking for a Full Remote Senior Python Developer. We seek a Python Developer to build and maintain reliable data pipelines and analytics workflows that ingest data from multiple internal and external sources, transform it into clean, analysis-ready datasets, and validate quality end-to-end. The work supports reporting, monitoring, and advanced analytics.

We are looking for a motivated contractor. Candidates need to be fluent in English.

Tasks and responsibilities:

- Design, build, and maintain data ingestion pipelines to collect information from APIs, databases, cloud storage, web services, and other internal/external data sources;
- Develop data transformation processes for cleaning, transforming, aggregating, and harmonizing data into analytics-ready formats;
- Implement data validation and quality assurance checks to ensure data accuracy, completeness, and consistency;
- Automate data extraction and loading (ETL/ELT) processes using Python and SQL-based frameworks;
- Collaborate with analysts, report developers, product owner, and business users to define data requirements and ensure smooth integration with analytics platforms;
- Optimize data pipelines for scalability, reliability, and performance.
- Maintain data documentation, metadata, and version control for all data assets;

Profile:

- Bachelor or Master degree;
- +6 years of relevant experience as a Python developer.
- Strong proficiency in Python, including libraries such as pandas, numpy, sqlalchemy, and requests;
- Expertise in data extraction and integration (REST APIs, SQL/No

SQL databases, file systems, cloud data sources);
- Solid understanding of data transformation, cleaning, and validation techniques;
- Strong hands-on SQL skills, including query optimization and performance tuning;

- Experience with ETL orchestration tools (e.g., Airflow, ADF) and workflow automation;
- Familiarity with data warehouses (Oracle, Azure Lakehouse, iceberg, Postgre

SQL);
- Experience implementing data validation and quality checks (e.g., dbt tests);

- Experience with version control systems (Git) and CI/CD pipelines;
- Knowledge of containerization (Docker) and cloud platforms (Azure);
- Knowledge of Dremio and Pyarrow;
- Knowledge of ADF and Databrick using pyspark;
- Fluent in English;