- 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 opportunities 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
- Good knowledge of CI/CD (Github / Github Actions Terraform)
- Knowledge on Agile methodologies.
Required Experience:
Manager
📌 Data Engineer-Customer Analytics AIML (Bengaluru)
🏢 BMW TechWorks
📍 Bengaluru
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