Senior Software Developer
INR 2000K-2500K (estimate) Senior-level Full Time
Tasks
- Apply data versioning incremental processing partitioning clustering
- Build data models fact dimension SCD and CDC
- Build scalable data pipelines on Databricks Spark
- Build semantic layer for metrics and reusable definitions
- Create ML ready datasets for feature engineering
- Define data modeling standards and data contracts
- Design ETL/ELT pipelines
- Develop curated datasets and feature layers
- Implement data quality checks contracts observability
- Implement ingestion transformation and serving layers
- Improve pipeline reliability monitoring and incident response
- Manage metadata lineage and data discovery
- Mentor engineers and review designs
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon Kinesis | Amazon Redshift | Amazon Web Services | Amundsen | Apache PubSub | Apache Spark | Azure | BigQuery | CI/CD | Change Data Capture | Cloud platform | Clustering | Cube | DBT | Dagster | Data Capture | Data Governance | Data Lakehouse | Data Lineage | Data Observability | Data Quality | Data Versioning | Databricks | Datahub | Delta Lake | Dimension modeling | Docker | Fact-Dimension Modeling | Fact/Dimension | Google Cloud | Google Cloud Platform | Iceberg | Incremental processing | Infrastructure as Code | Kafka | Kubernetes | LookML | Looker | OpenMetadata | Parquet | Partitioning | Power BI | Python | SLA SLO | SQL | Slowly Changing Dimensions | Snowflake | Tableau | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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