Senior Analyst
Pune, Maharashtra, India
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Automate data engineering workflows
- Build and maintain data pipelines
- Build reusable data models and transformation logic
- Collaborate with stakeholders to gather requirements
- Develop ETL/ELT workflows
- Document data models pipelines and data dictionaries
- Implement data validation quality checks and monitoring
- Implement partitioning indexing and query optimization
- Maintain data governance standards
- Manage Hive and Presto for data storage and querying
- Manage multiple priorities
- Optimize AWS data warehouses and data lake architectures
- Optimize data ingestion, transformation, and loading
- Orchestrate data pipelines with Apache Airflow
- Perform data extraction transformation and analysis with Python and SQL
- Standardize pipeline development code quality and deployment
- Support structured and unstructured data processing
- Translate technical concepts to non technical leadership
- Troubleshoot pipeline failures and data quality issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS Glue | AWS IAM | AWS Lambda | AWS S3 | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Spark | Apache Spark Streaming | Automation | DBT | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Validation | Data Warehousing | ELT | ETL | Great Expectations | Hive | Infrastructure as Code | Kafka | Partitioning | Power BI | Presto | Python | Query Optimization | SQL | Spark Streaming | Terraform | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Science
Roles
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