What awaits you/ Job Profile
Analyze, Organize data and Build data systems with multiple data sources
· Working closely with Stakeholders and Cross functional teams for the Data analysis.

What should you bring along
Build data systems and pipelines
Standardize the data assets which maximize data reusability
Evaluate business needs and objectives
Implementing data pipeline to ingest and cleanse raw data from various source systems including SaaS, Cloud based and On-prep databases
Conduct complex data analysis and report on results
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Implementing functional requirements including incremental loads, data snapshots and identity resolution
Optimizing data pipelines to improve performance and cost,



while ensuring a high quality of data within the data lake:
Monitoring services and jobs for cost and performance, ensuring continual operations of data pipelines, and fixing of defects.
Constantly looking for prospects to optimize data pipelines to improve performance.

Must have technical skill
· Must have coding skills in Spark/Pyspark, Python and SQL
· Must have Knowledge of AWS tools, Glue, Athena ,step functions and S3

Positive to have technical skills
Valuable knowledge of CI/CD (Github / Github Actions, Terraform)
Knowledge on Agile methodologies.

📌 Data Engineer Customer Analytics Aiml Karnataka
🏢 BMW TechWorks
📍 Karnataka