Data Engineer

Vandey Global Services; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Vandey Global Services is looking for a Data Engineer in Bengaluru, India. You will design and maintain data infrastructure that supports products and business insights. Ideal candidates should have 3+ years of experience and strong proficiency in Python, alongside skills in data modeling and ETL processes. Responsibilities include developing data pipelines, ensuring data quality, and collaborating with diverse teams. This is an opportunity to impact global enterprises through data innovation and integrity.

Qualifications

• 3+ years of experience as a data engineer or similar role.
• Strong proficiency in Python for data processing and automation.
• Solid understanding of data modeling and data warehousing concepts.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize complex SQL queries 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.

Skills

Python for data processing

Data modeling

Data warehousing

ETL/ELT methodologies

Problem-solving skills

Tools

AWS Redshift

Azure Synapse

Google BigQuery

Snowflake

Airflow

Tableau

Power BI

Looker

Job description

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

Key Responsibilities

• Design, build, and maintainscalable data pipelines and ETL/ELT processes.
• Develop and optimize complexSQL 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 datapipeline performance and reliability.
• Document data architecture,processes, and best practices.

Requirements

• 3+ years of experience as adata engineer or similar role.
• Strong proficiency in Pythonfor data processing and automation.
• Solid understanding of datamodeling, 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 dataplatforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake).
• Familiarity with dataorchestration tools (Airflow, dbt, Luigi, or similar).
• Knowledge of data visualizationtools (Tableau, Power BI, Looker).
• Background in working withlarge-scale datasets and big data technologies.