Data Engineer - Python/ETL/SQL

About the Opportunity :

A fast-scaling tech innovator in the enterprise data & cloud infrastructure space, we build scalable data pipelines and analytics platforms that power real-time business intelligence for global clients. Our Data Engineers design, deploy, and optimize data architectures across cloud and on-prem environmentsenabling faster decision-making through seamless ETL/ELT, data warehousing, and automation. We value clean code, production-grade reliability, and engineers who thrive in collaborative, high-velocity environments.

Role & Responsibilities :

- Design, develop, and maintain scalable data pipelines for batch and real-time ingestion across multiple source systems.

- Build and optimize data models in cloud data warehouses (Snowflake, BigQuery, Redshift) and data lakes (S3, ADLS).

- Automate ETL/ELT workflows using Apache Airflow, AWS Glue, or Azure Data Factory with monitoring and alerting.

- Collaborate with analytics, data science, and product teams to translate business requirements into efficient, reusable data assets.

- Ensure data quality, governance, and lineage through metadata tagging, testing frameworks, and documentation.

Skills & Qualifications :

Skills Required :

- Strong experience in Python and SQL

- Hands-on experience with ETL/ELT processes and data pipelines

- Experience with cloud platforms like AWS / GCP / Azure

- Knowledge of data warehousing concepts (Snowflake, BigQuery, Redshift, etc.)

- Familiarity with tools like dbt, Airflow, or similar

- Good English communication skills

- Problem-solving mindset and ability to work in a team

Please share an interesting list of candidates.

Good to Have :

- Experience in data modeling and performance optimization

- Exposure to real-time data processing or streaming tools

- Understanding of data governance and data quality practices

Benefits & Culture Highlights :

- On-site collaborative workspace in India with cutting-edge tech stack and innovation labs.

- Opportunity to influence core data architecture across global clients and industry verticals.

- Growth-focused culture with clear career paths, technical mentorship, and upskilling allowances.