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 chance 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.
- 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.

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