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Senior Data Engineer
3 weeks ago
As a Senior Data Engineer, you will play a critical role in our organization by leading the design, development, and maintenance of our data pipeline infrastructure.
You will work closely with cross-functional teams to ensure seamless data integration and accessibility for analytical and operational purposes.
Key responsibilities:
- Design, construct, and maintain large-scale data processing systems.
- Develop and optimize ETL processes for data extraction, transformation, and loading.
- Collaborate with data scientists and analysts to deploy scalable and efficient data models and algorithms.
- Implement data governance and security best practices to ensure data integrity and privacy.
- Monitor and troubleshoot data infrastructure and performance issues.
- Conduct code reviews and provide technical guidance to junior team members.
- Lead efforts in data architecture and database design to support business needs.
- Work with stakeholders to understand and address data-related requirements and challenges.
- Identify opportunities for automation and optimization within the data ecosystem.
- Stay abreast of industry trends and emerging technologies in data engineering.
- Participate in the evaluation and selection of new tools and technologies.
- Create and maintain documentation for data processes, systems, and standards.
- Collaborate with DevOps and IT teams to ensure smooth deployment and operation of data systems.
- Support data governance initiatives and compliance with regulatory standards.
- Contribute to the continuous improvement of data engineering practices within the organization.
- Create the data objects as per the data model specifications.
- Build data pipelines for data ingestion, curation and transformation as per specifications.
- Data ingestion (batch & real time) and transformation.
- Ensures that all code, configuration data, and system documentation is accurate, complete, understandable, and adheres to company standards.
- Leverage CI/CD for code development and deployment.
Skills:
- AWS Transfer Family.
- Amazon Glue.
- AWS Lambda.
- Amazon MWAA (Airflow), Redshift, S3.
Skills: Transformation ,Aws, Data Engineering ,Glue ,Aws Lambda, Amazon Redshift, S3
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