ETL Developer

MUST be willing to travel to New Jersey 3-4 days a month About Us We are a forward-thinking technology company dedicated to delivering innovative data solutions. Our focus is on data integration, analytics, and cutting-edge business intelligence, empowering organizations to make informed, data-driven decisions. Our team is made up of passionate professionals who thrive in a collaborative, dynamic, and high-performance environment. Job Summary We are seeking an experienced ETL Developer to design, develop, and maintain robust data integration pipelines. The ideal candidate has hands-on experience with ETL tools such as Talend, Informatica, or SSIS, a strong command of SQL, and a solid understanding of data warehousing and transformation best practices. If you have a passion for data optimization, performance tuning, and scalable architecture, we’d love to hear from you. Key Responsibilities • Design, develop, and maintain ETL workflows using tools such as Talend, Informatica, SSIS, or similar. • Extract, transform, and load data from diverse sources including APIs, databases, and flat files. • Ensure accuracy, quality, and integrity of the data during transformation and loading. • Work closely with data analysts, engineers, and business stakeholders to gather and interpret data requirements. • Optimize ETL processes to ensure high performance and scalability. • Troubleshoot and debug data pipelines, resolving issues in a timely and efficient manner. • Maintain documentation for ETL processes, data mappings, and transformation logic. Qualifications • Bachelor's degree in Computer Science, Information Technology, or a related discipline. • 4–5 years of experience in ETL development and data integration. • Proficient in SQL with experience in databases such as Oracle, SQL Server, or MySQL. • Strong understanding of data warehousing concepts and best practices. • Experience with ETL tools such as Informatica, Talend, or SSIS. • 2–3 years of experience with Snowflake data warehousing solutions. • Familiarity with data modeling, data governance, and data quality principles. • Strong analytical mindset and attention to detail. • Excellent verbal and written communication skills; ability to collaborate across teams. Preferred Skills • Experience with Big Data technologies (e.g., Hadoop, Spark). • Knowledge of cloud-based ETL and data platforms such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow. • Hands-on experience with Snowflake for scalable data warehousing and analytics. • Familiarity with data visualization tools such as Tableau or Power BI.