Data Engineer

Job Title: Data Engineer Experience: 2–3 Years Location: Mumbai (Worli) Work Mode: Onsite Notice Period: Immediate or max 15days preffered Role Overview We are seeking a talented and motivated Data Engineer with hands-on experience in PySpark, SQL, and Big Data technologies . The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines that support large-scale data processing, analytics, and integration initiatives. This role requires strong technical expertise in data engineering, backend development, and cloud technologies, along with the ability to work collaboratively in a fast-paced environment. Key Responsibilities - Design, develop, and maintain scalable ETL/ELT pipelines using PySpark and SQL. - Process and manage large volumes of structured and unstructured data using Big Data technologies. - Build, optimize, and troubleshoot Spark-based data processing workflows. - Develop and implement efficient data models and schema designs to support business requirements. - Create and maintain backend services using Python frameworks such as FastAPI or Flask. - Design, develop, and support RESTful APIs for data access and integration. - Ensure data quality, integrity, performance, and reliability across data platforms. - Collaborate with Data Scientists, Analysts, Product Teams, and other stakeholders to deliver data-driven solutions. - Monitor and optimize pipeline performance, scalability, and resource utilization. - Participate in code reviews, testing, deployment, and production support activities. - Contribute to architecture discussions and best practices for data engineering solutions. - Required Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. - 2–3 years of experience in Data Engineering or Big Data development. - Strong hands-on expertise in PySpark and SQL. - Experience working with Spark and Hadoop-based ecosystems. - Proficiency in Python development and API creation. - Understanding of cloud-native data solutions on AWS or Azure. - Strong analytical and problem-solving skills. Key Competencies - Data Engineering Expertise,Problem Solving, Performance Optimization,Collaboration & Teamwork,Attention to Detail, Preferred Candidate Profile - - Experience building scalable enterprise data pipelines. - Familiarity with real-time data processing and event-driven architectures.