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