Assistant Manager at EXL Service · HyrikoBack to jobsvia Career pages·5d ago
Assistant Manager
EXL Service
Full-timeHybrid
Location:Pune, Maharashtra, IndiaType:Full-timePosted:5d ago Data Engineering
- SQL
- Data Warehousing Concepts
- Data Validation and Reconciliation
- Data Pipeline Development
Cloud Technologies
- Google Cloud Platform (GCP)
Development Tools
- Python (Basic to Intermediate)
SAS Knowledge
- Understanding of SAS datasets
- PROC SQL
Data Modeling Understanding
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- Dimension and Fact Tables
- Analyze SAS programs, PROC SQL code, and SAS datasets.
- Assist in converting SAS transformation logic into DBT models and SQL transformations.
- Support migration of data from legacy SAS environments to GCP.
- Participate in code conversion, testing, and reconciliation activities.
Data Pipeline Development
- Develop and maintain ELT pipelines using DBT and BigQuery.
- Build reusable transformation models following DBT best practices.
- Implement data ingestion and processing workflows.
- Support batch and incremental data processing requirements.
Data Transformation & Modeling
- Develop SQL-based transformations for Bronze, Silver, and Gold layers.
- Implement business rules and data quality validations.
- Support dimensional models, fact tables, and dimension tables.
- Assist Data Modelers and Architects in implementing target-state data models.
- Perform source-to-target validation and reconciliation.
- Support automated testing using DBT tests.
- Investigate and resolve data quality issues.
- Ensure completeness, accuracy, and consistency of migrated data.
- Work with GCP services including:
- Monitor and optimize data processing jobs.
- Support security and access control implementation.
Documentation & Collaboration
- Prepare technical documentation and deployment guides.
- Participate in Agile ceremonies including sprint planning, standups, and retrospectives.
- Collaborate with Business Analysts, Data Architects, QA teams, and Business SMEs.
- Follow coding standards, development processes, and governance requirements
Graduate in Computer Science, Data Science, or related field. 2-3 years of experience in data engineering or related field.
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