Data Engineer
3 days ago
Key Responsibilities
- Design, develop, and maintain ETL workflows using Talend, AWS Glue, or similar tools.
- Build and optimize data pipelines and integrations between Salesforce, internal systems, and cloud-based data platforms.
- Manage and monitor data ingestion and transformation processes to ensure data quality and reliability.
- Utilize Amazon MWAA (Managed Workflows for Apache Airflow) for scheduling and orchestration of data workflows.
- Work with AWS services such as S3, Glue, and HBase to build and maintain a scalable Data Lake architecture.
- Perform troubleshooting, root cause analysis, and continuous improvement of data integration processes.
- Collaborate with cross-functional teams (Data Analysts, BI Developers, and Application Teams) to support data-driven initiatives.
- Ensure compliance with data governance and security standards.
Qualifications
- Minimum 3 years of hands-on experience in ETL development and data integration.
- Strong experience with Talend and/or AWS Glue.
- Working knowledge of HBase, Data Lake architectures, and big data processing.
- Familiarity with AWS services especially S3, Glue, MWAA (Airflow), and related components.
- Experience integrating with Salesforce or other CRM systems.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration abilities.
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