Job Title: Hadoop Data Engineer Location: Pune ( WFO) Notice period: Immediate to 15 days Experience : 5 to 8 years Required Skills : Hadoop, Hive QL, Pyspark as mandatory . Have 5+ years of experience in developing hadoop data lake solutions using Pyspark, Hive and other hadoop ecosystem tools. Data Lake Implementation - Develop data ingestion pipelines by referring to the Source to Target mapping of outgoing system Data Ingestion - Utilize various ETL processes, including Spark and Hadoop, to ingest data from diverse sources into the data lake. Create scalable and high-performance ETL processes to transfer data from various sources, transform the data based on the source-to-target mapping requirements, and load into data lake or downstream systems. Tune Hadoop solutions to improve performance and end-user experience. Collaborate closely with DEA teams and other stakeholders to ensure alignment with client objectives. Strong analytical and problem-solving skills. Excellent communication and documentation skills. Very good communication skills
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Application Programming / Maintenance Functional Area: Not Applicable Role/Responsibilies: Urgent Req Hadoop Data Engineer