Job Summary:

​

As a Data Engineer, you will play a key role in designing, building, and maintaining the data infrastructure that powers our products and drives business insights. This is an opportunity to join a fast-moving, innovation-driven team where your work will directly impact how we leverage data to serve global enterprises.

Key Responsibilities:

- Design, build, and maintain scalable data pipelines and ETL/ELT processes.

- Develop and optimize complex SQL queries, stored procedures, and database structures.

- Create and manage data models, data warehouses, and data lakes.

- Ensure data quality, integrity, and availability across systems.

- Collaborate with analytics, product, and engineering teams to support data-driven decisions.

- Monitor and troubleshoot data pipeline performance and reliability.

- Document data architecture, processes, and best practices.

Requirements





- 3+ years of experience as a data engineer or similar role.

- Expert-level proficiency in SQL (complex queries, performance tuning, database design).

- Strong proficiency in Python for data processing and automation.

- Solid understanding of data modeling, data warehousing concepts, and ETL/ELT methodologies.

- Robust problem-solving skills, attention to detail, and ability to work independently.

Nice to Have:

- Experience with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake).

- Familiarity with data orchestration tools (Airflow, dbt, Luigi, or similar).

- Knowledge of data visualization tools (Tableau, Power BI, Looker).

- Background in working with large-scale datasets and big data technologies.

📌 Data Engineer (Bengaluru)
🏢 Vandey Global Services
📍 Bengaluru