Data Engineer (ETL)
Data Engineering•Full Time•3+ years•
Required Skills16 skills
MSSQL
SQL scripting
stored procedures
Performance tuning
ETL
ELT
Informatica
Troubleshooting
Real-time data replication
CDC
Data modeling
shell scripting
GIT
Oracle database
NiFi
Flink
Job Description
<h3>Job Overview</h3><p>We are seeking a skilled Data Engineer (ETL) to join our team. In this role, you will be responsible for designing, developing, and maintaining data pipelines to support our data-driven initiatives. You will work closely with data scientists, analysts, and other engineers to ensure data is accurate, reliable, and readily available for analysis and reporting.</p><h3>Key Responsibilities</h3><ul><li>Design and optimize ETL/ELT pipelines for data ingestion and transformation.</li><li>Develop SQL scripts and stored procedures for data manipulation and analysis.</li><li>Implement real-time data replication solutions using CDC.</li><li>Troubleshoot data pipeline issues and ensure data quality.</li><li>Collaborate with cross-functional teams to understand data requirements.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in SQL and database technologies (MSSQL, Oracle).</li><li>Experience with ETL tools (e.g., Informatica, NiFi, Flink).</li><li>Strong understanding of data modeling principles.</li><li>Experience with shell scripting.</li></ul>Job Overview
We are seeking a skilled Data Engineer (ETL) to join our team. In this role, you will be responsible for designing, developing, and maintaining data pipelines to support our data-driven initiatives. You will work closely with data scientists, analysts, and other engineers to ensure data is accurate, reliable, and readily available for analysis and reporting.
Key Responsibilities
- Design and optimize ETL/ELT pipelines for data ingestion and transformation.
- Develop SQL scripts and stored procedures for data manipulation and analysis.
- Implement real-time data replication solutions using CDC.
- Troubleshoot data pipeline issues and ensure data quality.
- Collaborate with cross-functional teams to understand data requirements.
Required Skills
- Proficiency in SQL and database technologies (MSSQL, Oracle).
- Experience with ETL tools (e.g., Informatica, NiFi, Flink).
- Strong understanding of data modeling principles.
- Experience with shell scripting.
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