Senior Data Engineer (Pyspark)

Job Description Roles & Responsibilities Key tasks include building high-performance, secure, and scalable data pipelines, collaborating with Analytics Delivery Leads, Data scientists and other teams in an Agile environment, and communicating skateholders effectively. The position requires a degree in a relevant field, at least 4-8 years of experience in data engineering and ML pipelines, and proficiency in technologies like Python, Spark, Data Modeling (including expertise in optimization techniques), Hadoop, SQL, and Git. Desired Candidate Profile The Data Engineer role involves acquiring requirements, conducting EDA, ingesting required datasets, and transforming data using Big-data technologies & Feature Engineering techniques for machine learning models. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Senior Data Engineer (Pyspark) Get real-time job updates only on our App