Full Stack Developer

Job Description

Job Title: Senior Data Engineer (Full Stack) Experience Required: 8+ Years Work Mode: Hybrid Locations: Hyderabad / Noida / Bangalore / Indore Must have exoerience with : Pyspark, Data Bricks,ADF, Big Data, Hadoop, Hive Job Summary: We are seeking a highly skilled and experienced Senior Data Engineer with a strong background in big data technologies and full-stack data pipeline development. The ideal candidate will have deep expertise in PySpark, Databricks, ADF, and the Hadoop ecosystem. This is a hybrid role requiring on-site presence in one of our listed locations. Key Responsibilities: Design, build, and manage scalable and reliable data pipelines using PySpark and Databricks Develop and orchestrate data workflows using Azure Data Factory (ADF) Work with large datasets in distributed environments using Hadoop, Hive, and other Big Data tools Optimize data solutions for performance, scalability, and reliability Collaborate with cross-functional teams including Data Scientists, Analysts, and Software Engineers Ensure data quality and integrity across various stages of the data lifecycle Participate in code reviews, troubleshooting, and performance tuning Required Skills & Qualifications: Minimum 8 years of experience in Data Engineering Strong programming skills in PySpark and working experience with Databricks Hands-on experience with ADF for pipeline orchestration Proficiency with Hadoop, Hive, and other big data tools Experience working in hybrid or distributed teams Solid understanding of data architecture, ETL processes, and performance tuning Excellent problem-solving and communication skills Good to Have: Azure cloud experience Familiarity with DevOps practices and CI/CD for data pipelines Experience with Delta Lake or similar data lake architectures interested candidates may share their resume at humanresource[dot]professional693[at]gmail[dot]com Job Type: Contract Contract length: 6 months Application Question(s): What is your notice period in days? Experience: pyspark: 8 years (Required) databricks: 8 years (Required) ADF: 8 years (Required) Big data: 8 years (Required) Hadoop: 8 years (Required) Apache Hive: 8 years (Required) Work Location: In person