Data Engineer
INR 1500K-2000K (estimate) Mid-level Full Time
Tasks
- Build and maintain streaming and batch data pipelines
- Build data engineering prototypes
- Collect requirements with stakeholders
- Design optimize and monitor data workflows
- Develop ETL and ELT pipelines
- Develop data products and solutions
- Implement data deployment pipelines
- Implement data formats for usability
- Ingest transform and load data into data stores
- Perform data modeling
- Prepare data infrastructure for storage and retrieval
- Review data system architectures for improvement
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Glue Data Catalog | Access Control | Apache Airflow | Apache Kafka | Apache Spark | Auditability | Azure Data | Azure Data Factory | Azure Purview | Backup and Restore | CI/CD | Column-Level Security | Common table expressions | Concurrency | Containerization | Data Catalog | Data Factory | Data Governance | Data Quality | Deequ | Docker | ELT | ETL | Encryption | Glue Data Catalog | Great Expectations | HDFS | Hadoop | High Availability | Hive | Isolation Levels | Kafka Connect | Kubernetes | Lakehouse | Locking | MapReduce | Metadata Management | Observability | Orchestration | PII masking | Patroni | Pgbouncer | PySpark | Python | Query Optimization | Read replicas | Replication | Role-Based Access | Role-Based Access Control | Row Level Security | SLAs | SQL | Scala | Snowflake | Spark SQL | Spark Structured Streaming | Structured Streaming | Transaction management | Window Functions
Education
Roles
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