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ETL Data engineer
Aptean
posted 3mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design, build and maintain data warehouse, data lake, and data pipelines to ensure reliability & consistency.
- Implement end-to-end ETL/ELT workflows to seamlessly extract, transform, and load data into data platform.
- Analyse requirements to create technical designs, data models and ETL migration strategies on DWH, DL and cloud platform.
- Maintain and enhance data warehouses for multiple data sources, ensuring comprehensive integration, ingestion pipelines, data quality alerts, and effective remediation strategies.
- Implements database back-up, recovery, and archiving strategy.
- Design Solutions to Ingest data into Data Lake from various source systems by performing source data analysis.
- Support and maintain downstream integrations from our data lake, for example business intelligence and visualization tools and business applications.
- Evaluate identifying existing data gaps, building new ETL data pipelines, and providing automated solutions to deliver advanced analytical capabilities and enriched data to applications that support business operations.
- Implement and streamline DevOps practices in Enterprise Data Platform.
- Ensure that operational system integrations driven from the data stack are running, monitored and available.
- Monitoring and troubleshooting data integration processes to ensure the utmost accuracy and integrity of data.
Work Experience
7-10 Year s
Knowledge, Skills, Abilities & Competencies
- Strong knowledge of database engineering, data modeling, ETL, data lake house, and data warehousing.
- Firsthand experience in the data engineering with demonstrated design and technical implementation of data warehouses.
- Technical expertise in data modeling, database design, data extraction, and segmentation techniques.
- Experience with building, deploying, and troubleshooting reliable and consistent data pipelines working with disparate in-house and external data-sources.
- Expert in developing large scale, enterprise class distributed system or subsystems that require high availability, low latency, & strong data consistency computing.
- Advanced complex SQL knowledge and experience.
- Working experience with both relational and NoSQL databases.
- Strong knowledge of data visualization tools like Power BI and Tableau.
- Strong knowledge of data validation techniques and processes.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Effectively communicate complex technical artifacts to both technical & non-technical audiences
- Participate in cross-functional meetings, workshops, and planning sessions to ensure data engineering activities support the overall objectives across data product and platform initiatives.
- Experience with database back-up, recovery, and archiving strategy.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
Aptean Benefits
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