DESCRIPTION

Please note even though the GPP mentions Remote, this is a Hybrid role.

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 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.

RESPONSIBILITIES

Qualifications:

• 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.

Competencies:

• System Requirements Engineering: Translate stakeholder needs into verifiable requirements and establish acceptance criteria.

• 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 whether a solution meets its intended outcomes.

• Solution Documentation: Document information and solutions based on knowledge gained during product development activities.

• Solution Validation Testing: Validate configuration item changes or solutions using best practices.

• Data Quality: Identify, understand, and correct flaws in data 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.

QUALIFICATIONS

Skills and Experience Needed:

• Must-Have:

• 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.

• Agile Development experience.

• 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.

• Nice-to-Have:

• Understanding of the ML lifecycle.

• Exposure to Big Data open source technologies.

• Experience with SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka.

• SQL query language proficiency.

• Experience with clustered compute cloud-based implementations.

• Familiarity with developing applications requiring large file movement for a cloud-based environment.

• Exposure to Agile software development.

• Experience building analytical solutions.

• Exposure to IoT technology.

Work Schedule: Most of the work will be with stakeholders in the US, with an overlap of 2-3 hours during EST hours on a need basis.

Job Systems/Information Technology

Organization Cummins Inc.

Role Category Remote

Job Type Exempt - Experienced

ReqID 2409179

Relocation Package Yes