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NEC Software Solutions Logo NEC Software Solutions · IT - Software Development

Data Engineer - AWS

India, Mumbai · Job Posted February 18, 2026
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Job Description

We are seeking an AWS Data Engineer with 4–7 years of experience to design and build cloud-native data pipelines, contribute to innovation in data engineering practices, and collaborate across teams to deliver secure, scalable, and high-quality data solutions. This role is critical to enabling real-time insights and supporting our mission to streamline enterprise operations.

Job Responsibility

  • Develop, test, deploy, orchestrate, monitor, and troubleshoot cloud-based data pipelines and automation workflows in alignment with best practices and security standards
  • Collaborate with data scientists, architects, ETL developers, and business stakeholders to capture, format, and integrate data from internal systems, external sources, and data warehouses
  • Research and experiment with batch and streaming data technologies to evaluate their business impact and suitability for current use cases
  • Contribute to the definition and continuous improvement of data engineering processes and procedures
  • Ensure data integrity, accuracy, and security across corporate data assets
  • Maintain high data quality standards for Data Services, Analytics, and Master Data Management
  • Build automated, scalable, and test-driven data pipelines
  • Apply software development practices including Git-based version control, CI/CD, and release management to enhance AWS CI/CD pipelines
  • Partner with DevOps engineers and architects to improve DataOps tools and frameworks

Requirements

  • Bachelor’s Degree in Computer Science, Engineering, or related field
  • 4–7 years of experience in application development and data engineering
  • 3+ years of experience with big data technologies
  • 3+ years of experience with cloud platforms (AWS preferred
  • Azure or GCP also acceptable)
  • Proficiency in Python, SQL, Scala, or Java (3+ years)
  • Experience with distributed computing tools such as Hadoop, Hive, EMR, Kafka, or Spark (3+ years)
  • Hands-on experience with real-time data and streaming applications (3+ years)
  • NoSQL database experience (MongoDB, Cassandra) – 3+ years
  • Data warehousing expertise (Redshift or equivalent) – 3+ years
  • UNIX/Linux proficiency including shell scripting – 3+ years
  • Familiarity with Agile engineering practices
  • SQL performance tuning and optimization – 3+ years
  • PySpark experience – 2+ years
  • Exposure to process orchestration tools (Airflow, AWS Step Functions, Luigi, or KubeFlow)

Nice to have

  • Experience with Machine Learning workflows
  • Exposure to Data-as-a-Service platforms
  • Experience designing and deploying APIs
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