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Data Engineer

AT Cummins
Cummins

Data Engineer

Pune, India

DESCRIPTION

  • Product & Business Alignment - Collaborate with the Product Owner to align data solutions with business objectives and product vision.
  • Data Pipeline Development - Design, develop, and implement efficient data pipelines for ingesting, transforming, and transporting data into Cummins Digital Core (Azure DataLake, Snowflake) from various sources, including transactional systems (ERP, CRM).
  • Architecture & Standards Compliance - Ensure alignment with AAI Digital Core and AAI Solutions Architecture standards for data pipeline design, storage architectures, and governance processes.
  • Automation & Optimization - Implement and automate distributed data systems, ensuring reliability, scalability, and efficiency through monitoring, alerting, and performance tuning.
  • Data Quality & Governance - Develop and enforce data governance policies, including metadata management, access control, and retention policies, while actively monitoring and troubleshooting data quality issues.
  • Modeling & Storage - Design and implement conceptual, logical, and physical data models, optimizing storage architectures using distributed and cloud-based platforms (e.g., Hadoop, HBase, Cassandra, MongoDB, Accumulo, DynamoDB).
  • Documentation & Best Practices - Create and maintain data engineering documentation, including standard operating procedures (SOPs) and best practices, with guidance from senior engineers.
  • Tool Evaluation & Innovation - Support proof-of-concept (POC) initiatives and evaluate emerging data tools and technologies to enhance efficiency and effectiveness.
  • Testing & Troubleshooting - Participate in the testing, troubleshooting, and continuous improvement of data pipelines to ensure data integrity and usability.
  • Agile & DevOps Practices - Utilize agile development methodologies, including DevOps, Scrum, and Kanban, to drive iterative improvements in data-driven applications.

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RESPONSIBILITIES

Qualifications:

  • Bachelor's degree in a relevant technical discipline, or equivalent experience required.
  • This position may require licensing for compliance with export controls or sanctions regulations.

Competencies:

  • System Requirements Engineering: Translate stakeholder needs into verifiable requirements, establish acceptance criteria, track requirement status, and assess impact changes.
  • Collaborates: Build partnerships and work collaboratively with others to meet shared objectives.
  • Communicates Effectively: Deliver multi-mode communications tailored to different audiences.
  • Customer Focus: Build strong customer relationships and provide customer-centric solutions.
  • Decision Quality: Make good and timely decisions that drive the organization forward.
  • Data Extraction: Perform ETL activities from various sources using appropriate tools and technologies.
  • Programming: Develop, test, and maintain code using industry standards, version control, and automation tools.
  • Quality Assurance Metrics: Measure and assess solution effectiveness using IT Operating Model (ITOM) standards.
  • Solution Documentation: Document knowledge gained and communicate solutions for improved productivity.
  • Solution Validation Testing: Validate configurations and solutions to meet customer requirements using SDLC best practices.
  • Data Quality: Identify, correct, and manage data flaws to support effective governance and decision-making.
  • Problem Solving: Use systematic analysis to determine root causes and implement robust solutions.
  • Values Differences: Recognize and leverage the value of diverse perspectives and cultures.

QUALIFICATIONS

Preferred Experience:

  • Hands-on experience gained through internships, co-ops, student employment, or team-based extracurricular projects.
  • Proficiency in SQL query language and experience in developing analytical solutions.
  • Exposure to open-source Big Data technologies such as Spark, Scala/Java, MapReduce, Hive, HBase, and Kafka.
  • Familiarity with cloud-based, clustered computing environments and large-scale data movement applications.
  • Understanding of Agile software development methodologies.
  • Exposure to IoT technology and data-driven solutions.

Technical Skills:
  1. Programming Languages: Proficiency in Python, Java, and/or Scala.
  2. Database Management: Expertise in SQL and NoSQL databases.
  3. Big Data Technologies: Hands-on experience with Hadoop, Spark, Kafka, and similar frameworks.
  4. Cloud Services: Experience with Azure, Databricks, and AWS platforms.
  5. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes.
  6. Data Replication: Working knowledge of replication technologies like Qlik Replicate is a plus.
  7. API Integration: Experience working with APIs to consume data from ERP and CRM systems.

Job Systems/Information Technology

Organization Cummins Inc.

Role Category Remote

Job Type Exempt - Experienced

ReqID 2411593

Relocation Package No

Client-provided location(s): Pune, Maharashtra, India
Job ID: Cummins-R-C4618B1460F7441DAA42031B5CD8AD40
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • FSA With Employer Contribution
    • Health Reimbursement Account
    • On-Site Gym
    • HSA With Employer Contribution
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
  • Office Life and Perks

    • Company Outings
    • Casual Dress
  • Vacation and Time Off

    • Leave of Absence
    • Personal/Sick Days
    • Paid Holidays
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Pension
    • 401(K) With Company Matching
  • Professional Development

    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Tuition Reimbursement