Senior Data Engineer
2 months ago
Skills : AWS DMS + Redshift
Job Description :
Must Have Experience :
- 4+ years of hands-on data engineering experience
- Expertise with AWS services: S3, DMS, Redshift, EMR, Glue, Kinesis, DynamoDB
- Building batch and real-time data pipelines
- Python, SQL coding for data processing and analysis
- Data modeling experience using Cloud based data platforms like Redshift
- Design and Develop ETL frameworks using AWS DMS
Nice-to-Have Experience :
- ETL development using tools like Informatica, Talend
- Knowledge of creating reusable data sources and dashboards for self-service analytics
- Experience using Databricks for Spark workloads or Redshift
- Working knowledge of Big Data Processing
- Knowledge of DevOps, DataOps, Data Governance
- Any one of the AWS Professional Certification or Snowpro Core Certification
Must have skills :
- Cloud Knowledge
- Expertise with AWS Cloud Data Services
- Data Integration
- Batch & real-time data integration
- Data Warehousing
- Star and Snowflake Schema, Partitioning, Incremental Load setup, ETL Framework
- Data Lakes/Lakehouse
- Building data lake and Lakehouse using Redshift or native services of AWS
- BI & Analytics
- QuickSight/Tableau/Power BI/Qlik
- Orchestration
- Step Big Data/ML
- Building data pipelines using Spark
- Knowledge of ML concepts ,Scripting
- SQL, Python , Scala, Java , Streaming
- Knowledge of Real-time pipelines with tools like Kafka/Kinesis
- Data Governance , Metadata Management
- Data Lineage Setup
- Security
- Data Encryption
- Data Security best practices like PII data masking, etc.
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