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120 Cummins Jobs

Data Engineer

3-5 years

₹ 13 - 23.61L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Pune

1 vacancy

Data Engineer

Cummins

posted 1mon ago

Job Role Insights

Flexible timing

Job Description

Key Responsibilities:

  • Implement and automate deployment of distributed systems for ingesting and transforming data from various sources (relational, event-based, unstructured).
  • Continuously monitor and troubleshoot data quality and data integrity issues.
  • Implement data governance processes and methods for managing metadata, access, and retention for internal and external users.
  • Develop reliable, efficient, scalable, and quality data pipelines with monitoring and alert mechanisms using ETL/ELT tools or scripting languages.
  • Develop physical data models and implement data storage architectures as per design guidelines.
  • Analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
  • Participate in testing and troubleshooting of data pipelines.
  • Develop and operate large-scale data storage and processing solutions using distributed and cloud-based platforms (e. g. , Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB).
  • Use agile development technologies, such as DevOps, Scrum, Kanban, and continuous improvement cycles, for data-driven applications.

Experience:

  • 3-5 years of experience in data engineering with a strong background in Azure Databricks and Scala/Python.
  • Hands-on experience with Spark (Scala/PySpark) and SQL.
  • Experience with Spark Streaming, Spark Internals, and Query Optimization.
  • Proficiency in Azure Cloud Services.
  • Experience in Agile Development and Unit Testing of ETL.
  • Experience creating ETL pipelines with ML model integration.
  • Knowledge of Big Data storage strategies (optimization and performance).
  • Critical problem-solving skills.
  • Basic understanding of Data Models (SQL/NoSQL) including Delta Lake or Lakehouse.
  • Quick learner.

Competencies:

  • System Requirements Engineering: Translate stakeholder needs into verifiable requirements; establish acceptance criteria; track status throughout the system lifecycle; assess impact of changes.
  • Collaborates: Build partnerships and work collaboratively with others to meet shared objectives.
  • Communicates Effectively: Develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences.
  • Customer Focus: Build strong customer relationships and deliver customer-centric solutions.
  • Decision Quality: Make good and timely decisions that keep the organization moving forward.
  • Data Extraction: Perform ETL activities from various sources and transform them for consumption by downstream applications and users.
  • Programming: Create, write, and test computer code, test scripts, and build scripts using industry standards and tools.
  • Quality Assurance Metrics: Apply measurement science to assess solution outcomes using ITOM, SDLC standards, tools, metrics, and KPIs.
  • Solution Documentation: Document information and solutions based on knowledge gained during product development activities.
  • Solution Validation Testing: Validate configuration item changes or solutions using SDLC standards and metrics.
  • Data Quality: Identify, understand, and correct data flaws to support effective information governance.
  • Problem Solving: Solve problems using systematic analysis processes and industry-standard methodologies.
  • Values Differences: Recognize the value that different perspectives and cultures bring to an organization.

Education, Licenses, Certifications:

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

Nice to Have Experience:

  • Understanding of the ML lifecycle.
  • Exposure to Big Data open source technologies.
  • Familiarity with clustered compute cloud-based implementations.
  • Experience developing applications requiring large file movement for a cloud-based environment.
  • Exposure to building analytical solutions and IoT technology.

Work Environment:

  • Most work will be with stakeholders in the US, with an overlap of 2-3 hours during EST hours as needed.
  • This role will be Hybrid.

Employment Type: Full Time, Permanent

Read full job description

Cummins Interview Questions & Tips

Prepare for Cummins Data Engineer roles with real interview advice

Top Cummins Data Engineer Interview Questions

Q1. If you have to complete a task which requires 18 man hours & if you need to deliver the same by the end of the day? How would you do it.
Q2. Tell me one part which you have designed? What were the considerations during it.? Which departments were involved?
Q3. How do you verify the design & how do you validate it. DFMEA, iDFMEA, DVP-R
View all 191 questions

What people at Cummins are saying

Data Engineer salary at Cummins

reported by 14 employees with 1-5 years exp.
₹6.9 L/yr - ₹23.6 L/yr
46% more than the average Data Engineer Salary in India
View more details

What Cummins employees are saying about work life

based on 3.2k employees
66%
47%
46%
94%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Cummins Benefits

Submitted by Company
Financial wellness
Health and Wellness
Continuing Education
Paid Incentive
Inclusion and Equity
Work-Life Flexibility +2 more
Submitted by Employees
Job Training
Health Insurance
Soft Skill Training
Child care
Cafeteria
Education Assistance +6 more
View more benefits

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Cummins Pune Office Location

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Pune, Maharashtra Office
Tower A, 5th Floor, Survey No. 21, Balewadi Pune – 411 045, Maharashtra, India Pune, Maharashtra

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