Cummins HUB Jobs

DESCRIPTION

Although the role category specified in the GPP is Remote, the requirement is for Hybrid.

Key Responsibilities:

• Design and Automation : Deploy distributed systems for ingesting and transforming data from various sources (relational, event-based, unstructured).

• Data Quality and Integrity : Implement frameworks to monitor and troubleshoot data quality and integrity issues.

• Data Governance : Establish processes for managing metadata, access, and retention for internal and external users.

• Data Pipelines : Build reliable, efficient, scalable, and quality data pipelines with monitoring and alert mechanisms using ETL/ELT tools or scripting languages.

• Database Structure : Design and implement physical data models to optimize database performance through efficient indexing and table relationships.

• Optimization and Troubleshooting : Optimize, test, and troubleshoot data pipelines.

• Large Scale Solutions : 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).

• Automation : Use modern tools and techniques to automate common, repeatable, and tedious data preparation and integration tasks.

• Infrastructure Renovation : Renovate data management infrastructure to drive automation in data integration and management.

• Agile Development : Ensure the success of critical analytics initiatives using agile development technologies such as DevOps, Scrum, Kanban.

• Team Development : Coach and develop less experienced team members.

RESPONSIBILITIES

Qualifications:

• College, university, or equivalent degree in a relevant technical discipline, or equivalent experience required. Licensing may be required for compliance with export controls or sanctions regulations.

Competencies:

• System Requirements Engineering : Translate stakeholder needs into verifiable requirements; establish acceptance criteria; track requirements status; assess impact of changes.

• Collaboration : Build partnerships and work collaboratively to meet shared objectives.

• Communication : Develop and deliver 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 to keep the organization moving forward.

• Data Extraction : Perform ETL activities from various sources using appropriate tools and technologies.

• Programming : Create, write, and test computer code, test scripts, and build scripts to meet business, technical, security, governance, and compliance requirements.

• Quality Assurance Metrics : Apply measurement science to assess solution outcomes using ITOM, SDLC standards, tools, metrics, and KPIs.

• Solution Documentation : Document information and solutions to enable improved productivity and effective knowledge transfer.

• Solution Validation Testing : Validate configuration item changes or solutions using SDLC standards, tools, and metrics.

• Data Quality : Identify, understand, and correct data flaws to support effective information governance.

• Problem Solving : Solve problems using systematic analysis processes; implement robust, data-based solutions; prevent problem recurrence.

• Values Differences : Recognize the value of different perspectives and cultures.

QUALIFICATIONS

Skills:

• ETL/Data Engineering Solution Design and Architecture : Expert level.

• SQL and Data Modeling : Expert level (ER Modeling and Dimensional Modeling).

• Team Leadership : Ability to lead a team of data engineers.

• MSBI (SSIS, SSAS) : Experience required.

• Databricks (Pyspark) and Python : Experience required.

• Additional Skills : Snowflake, Power BI, Neo4j (good to have).

• Communication : Good communication skills.

Preferred Experience:

• 8+ years of overall experience.

• 5+ years of relevant experience in data engineering.

• Knowledge of the latest technologies and trends in data engineering.

• Technologies : Familiarity with analyzing complex business systems, industry requirements, and data regulations.

• Big Data Platform : Design and development using open source and third-party tools.

• Tools : SPARK, Scala/Java, Map-Reduce, Hive, Hbase, Kafka.

• SQL : Proficiency in SQL query language.

• Cloud-Based Implementation : Experience with clustered compute cloud-based implementations.

• Large File Movement : Experience developing applications requiring large file movement for cloud environments.

• Analytical Solutions : Experience in building analytical solutions.

• IoT Technology : Intermediate experience preferred.

• Agile Software Development : Intermediate experience preferred.

Job Systems/Information Technology

Organization Cummins Inc.

Role Category Remote

Job Type Exempt - Experienced

ReqID 2414041

Relocation Package No