Write and optimize complex
SQL queries
to extract and manipulate data
Create interactive reports and dashboards using
Power BI / Tableau
Perform
data cleaning
, exploration, and descriptive analytics
Interpret KPIs and provide insights that influence strategy
Collaborate with cross-functional teams on analytics initiatives
Perform
A/B testing
, customer segmentation, and root cause analysis
Proficient in
SQL
, Excel, Python
Hands-on with BI tools:
Power BI
, Tableau, or Looker
Understanding of
statistical concepts
, data visualization best practices
Experience working with
relational databases
, basic ETL knowledge
We are hiring a
Data Engineer
to architect, build, and maintain reliable and scalable data pipelines. You’ll be instrumental in building a modern data infrastructure and ensuring smooth flow of data across systems.
Responsibilities
Design and develop robust
ETL/ELT pipelines
for large-scale data processing
Work with structured and unstructured data across multiple sources
Build and maintain
data lakes
,
data warehouses
, and
data marts
Implement data validation, quality checks, and monitoring frameworks
Collaborate with analysts, scientists, and engineering teams
Strong in
SQL
, Python or Scala
Hands-on with
Apache Airflow, Kafka, Spark
, or similar tools
Experience with
AWS (Glue, Redshift, S3)
or
Azure/GCP equivalents
Solid understanding of
data modeling, performance tuning
Familiarity with
Docker, Git
, CI/CD for data jobs

Indium is an AI-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative AI, Product Engineering, Intelligent Automation, Data & AI, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact.
With 5,000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology - driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an AI-first world.