
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