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.