Senior Data Engineer

Job Description

Role: Data Engineer Experience: 3–5 Years Location: Gurgaon - Onsite Notice Period: Immediate Key Skills Required Python Apache Spark Databricks Machine Learning (basic to intermediate understanding) ETL/Data Pipelines SQL (nice to have) Role Overview We’re looking for a Data Engineer with 3–5 years of experience to work on building and optimizing data pipelines using Python and Spark, with hands-on experience in Databricks. The ideal candidate should also have exposure to implementing machine learning models and collaborating across teams to deliver scalable data solutions. Responsibilities Build and maintain efficient, scalable data pipelines using Python and Apache Spark. Work closely with analytics and engineering teams to develop data-driven solutions. Use Databricks for processing, analyzing, and visualizing large datasets. Apply machine learning techniques for data insights and automation. Improve performance, reliability, and quality of data infrastructure. Monitor data integrity across the entire data lifecycle. Required Qualifications Strong hands-on experience with Python and Apache Spark. Proficient in working with Databricks for engineering workflows. Good understanding of machine learning concepts and ability to implement models. Familiarity with ETL processes, data warehousing, and SQL. Strong communication and problem-solving skills. Educational Background BE/BTech/BIT/MCA/BCA or a related technical degree. Job Type: Full-time Pay: ₹600,000.00 - ₹1,300,000.00 per year Schedule: Morning shift Work Location: In person