Data Engineer

Vandey Global Services; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Vandey Global Services in Bengaluru, Karnataka, is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines powering analytics and product insights.

You will optimize SQL queries, develop data models, and manage data warehouses and lakes while collaborating with analytics, product, and engineering teams to ensure data quality and availability across systems.

Qualifications

• 5+ years of experience as a data engineer or similar role.
• Strong proficiency in Python for data processing and automation.
• Solid understanding of data modeling, data warehousing concepts, and ETL/ELT methodologies.

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.

Skills

Python for data processing

Data modeling

ETL/ELT methodologies

Independent work

Problem solving

Tools

AWS Redshift

Azure Synapse

Google BigQuery

Snowflake

Airflow

dbt

Luigi

Tableau

Power BI

Looker

Job description

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 fastmoving, 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.

Qualifications & Skills Required:

• 5+ years of experience as a data engineer or similar role.


• Strong proficiency in Python for data processing and automation.


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