<p><strong>Overview</strong></p><p> The ETL Developer is responsible for designing, developing, and maintaining data integration solutions that ensure the accurate and efficient movement of data across enterprise systems. This role requires a strong background in database development, data warehousing concepts, and hands-on experience with ETL tools. The ideal candidate is analytical, detail-oriented, and comfortable collaborating with data engineers, analysts, and business stakeholders to deliver high-quality data solutions.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain <strong>ETL processes and data pipelines</strong> to extract, transform, and load data from multiple source systems into data warehouses or data lakes.</li><li>Work with <strong>SQL, stored procedures, and ETL tools</strong> (such as Informatica, Talend, SSIS, or DataStage) to build scalable data workflows.</li><li>Collaborate with business and technical teams to define data requirements, integration rules, and transformation logic.</li><li>Ensure data quality, consistency, and accuracy through validation, error handling, and audit processes.</li><li>Optimize ETL performance by tuning SQL queries and improving process efficiency.</li><li>Support existing data integration jobs by troubleshooting and resolving production issues.</li><li>Create and maintain detailed technical documentation of ETL processes, mappings, and data flow diagrams.</li><li>Participate in <strong>code reviews, version control</strong>, and <strong>change management</strong> processes to ensure compliance with standards.</li><li>Work closely with data architects to implement best practices for data modeling and pipeline design.</li></ul><p><br></p>

<p><strong>Qualifications</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, or related field.</li><li>3–5 years of hands-on experience in ETL development or data integration roles.</li><li>Proficiency in <strong>SQL</strong> and experience with one or more ETL tools such as <strong>Informatica, SSIS, Talend, DataStage, or AWS Glue</strong>.</li><li>Strong understanding of <strong>data warehousing concepts, dimensional modeling, and relational databases</strong> (SQL Server, Oracle, PostgreSQL, or Snowflake).</li><li>Experience working with <strong>data in cloud environments</strong> such as AWS, Azure, or Google Cloud.</li><li>Excellent troubleshooting, debugging, and performance-tuning skills.</li><li>Ability to collaborate across teams and communicate complex technical issues clearly.</li></ul><p><strong>Preferred</strong></p><ul><li>Experience with <strong>Python or Shell scripting</strong> for automation and data manipulation.</li><li>Familiarity with <strong>big data technologies</strong> (Spark, Hadoop, Databricks) or <strong>modern ELT frameworks</strong> (dbt).</li><li>Knowledge of <strong>CI/CD pipelines</strong> and source control tools like Git.</li><li>Experience with <strong>API integrations</strong> and <strong>JSON/XML parsing</strong>.</li></ul><p><br></p>

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