Data Engineer
- anblicks
- 8 - 13 years
- Hyderabad
- 3 months ago
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Job Description
- Design, develop, and implement ETL processes to extract data from various source systems, transform it according to business requirements, and load it into target systems (e.g., data warehouse, data lake)
- Implement data validation and error handling within ETL pipelines.
- Build and maintain scalable, reliable, and efficient data pipelines.
- Design and implement data quality checks, validations, and transformations within ETL processes.
- Automate data quality monitoring, alerting, and reporting within ETL pipelines.
- Develop and implement data quality rules and standards within ETL processes.
- Integrate data from diverse sources, including databases, APIs, flat files, and cloud-based systems.
- Utilize ETL tools and technologies (e.g., SnapLogic, Informatica PowerCenter, Talend, AWS Glue, Apache Airflow, Azure Data Factory, etc.).
- Write SQL queries to extract, transform, load, and validate data.
- Use scripting languages (e.g., Python) to automate ETL processes, data quality checks, and data transformations.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: anblicksLocation(s): Hyderabad
Keyskills: Quality monitoring SQL queries Data validation Usage Data quality Informatica Apache Data warehousing Python Scripting
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