Technical Lead

Data Engineer / ETL Developer Python, Airflow, GCP

Experience: 4–6 Years & 6+ Years
Location: Hyderabad
Open Positions: 7

Job Overview

We are looking for Data Engineers / ETL Developers with strong experience in Python, Apache Airflow, and GCP to design and maintain scalable data ingestion and ETL/ELT pipelines.

Key Responsibilities

• Develop scalable ETL/ELT pipelines using Python and Apache Airflow.
• Ingest data from APIs, relational databases, cloud storage, and external files.
• Process formats such as JSON, CSV, TXT, Parquet, XML, SHP, and GeoJSON.
• Build batch and event-driven pipelines on GCP.
• Load, transform, and optimize data in BigQuery.
• Implement data validation, reconciliation, monitoring, logging, and alerting.
• Develop reusable and configurable ingestion frameworks.
• Collaborate with architects, business teams, and data consumers.
• Participate in code reviews, testing, documentation, and production support.

Required Skills

• Strong Python programming and SQL skills.
• Hands-on experience with Apache Airflow / Cloud Composer.
• Experience with AWS & GCP – BigQuery, GCS, Cloud Functions.
• Experience integrating REST APIs and relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
• Experience handling large datasets and multiple file formats.
• Knowledge of data quality, validation, monitoring, and error handling.
• Familiarity with Git, CI/CD, and Agile methodologies.

Ideal Candidate

A hands-on Data Engineer who can independently build reliable data pipelines, troubleshoot production issues, and work effectively with cross-functional teams.

Note: Interested Candidates send your CV to [email removed]