Hadoop Big Data Engineer

Overview

For 68.93 / hr, we are seeking a skilled Big Data Engineer to support a leading financial institution in building and optimizing large-scale data processing systems. This role involves working with Hadoop and Spark to ingest, transform, and analyze high-volume market and trading data. The engineer will contribute to the development and maintenance of distributed data pipelines, ensuring performance, scalability, and reliability across the analytics infrastructure. You will use datasets, data lake architecture, etc. to help build a proprietary analytics platform. The ideal candidate will have a strong understanding of big data frameworks and a passion for enabling data-driven decision-making in a fast-paced financial environment.

Equal Opportunity

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity / affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy : https : / / insightglobal.com / workforce-privacy-policy / .

Skills and Requirements

• 7+ years of experience in a Data Engineer role utilizing Python scripting
• Experience with Hadoop and Spark - Background in financial services or analytics platforms
• Familiarity with tools like Apache Hudi, Hive, and Airflow is a plus

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