Senior Data Engineer with Azure (ADF/Fabric/Synapse), SQL, Data modeling, ETL/ELT, Python/PySpark
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Architect data engineering solutions
- Automate reconciliations and variance analysis
- Collaborate with finance and business leaders
- Create and optimize analytics platforms
- Define dashboard and KPI standards
- Deploy NLP pipelines for unstructured documents
- Design and optimize data pipelines
- Develop and deploy predictive models
- Develop generative AI applications
- Implement ETL and ELT workflows
- Implement data quality frameworks
- Lead CI CD practices for data engineering
- Lead data governance initiatives
- Mentor junior data engineers
- Perform feature engineering and validation
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | CI/CD | DBT | Data Factory | Data Governance | Data Modeling | Data Quality | Data pipeline | Data pipeline optimization | DevOps | ELT | ETL | Feature Engineering | Git | Informatica | Language Processing | Machine Learning | Microsoft Fabric | Natural Language | Natural Language Processing | Pipeline Optimization | PySpark | Python | SQL | Schema Design | Snowflake | Synapse Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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