Cummins Inc. Sr Data Engineer / Lead Data Engineer in Columbus, Indiana
Sr Data Engineer / Lead Data Engineer
Expert in architecture and design of data analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Manages a team of data engineers.
Gathers requirements and build roadmaps, architectures and lead decision making process for tools selection to help the Product Teams achieve their goals.
Becomes a trusted partner, collaborates and aligns with the wider Organization and Enterprise Data Strategy.
Creates data architectures for datalake, databases and data warehouses (i.e., designing and specifying the overall database/data warehouse structure based on functional and technical requirements).
Creates and maintains optimal data pipeline architecture.
Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Works with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Guarantees compliance with data governance and data security requirements while creating, improving and operationalizing these integrated and reusable data pipelines, enabling faster data access, integrated data reuse and vastly improved time-to-solution for the organization's data and analytics initiatives.
Drives failure mode and troubleshooting methods across the entire flow of data within and across systems and acts as a strong advocate for a culture of process and data quality across development teams.
Enables critical business decision making at the executive level via delivery of data from many source systems across the organization.
Works with data and analytics experts to strive for greater functionality in our data systems.
Coaches and develops less experienced team members.
Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product.
Solution Design - Creates and defines the solution design complete with instrumentation and measurement, using industry standards and tools, version control, and build and test automation to synthesize diagrams, models and documentation in order to build a solution that meets buildability, business, technical, security, governance and compliance requirements.
System Solution Architecture - Creates solution designs and patterns using the Cummins Technical Reference Model (CTRM), CLEAN standards, and existing reference patterns to maintain alignment to Cummins standards.
Problem Solving - Solves problems using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and recommended actions to prevent problem reoccurrence.
Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making.
Customer focus - Building strong customer relationships and delivering customer-centric solutions.
Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications.
Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
Decision quality - Making good and timely decisions that keep the organization moving forward.
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Manages ambiguity - Operating effectively, even when things are not certain or the way forward is not clear.
Education, Licenses, Certifications
College, university or equivalent degree preferred or equivalent work experience in relevant technical discipline.
This position may require licensing for compliance with export controls or sanctions regulations.
Significant experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes:
Analyzing complex business systems, industry requirements, and/or data regulations
A strong background in processing and managing large data sets
Proven Architecture and design experience in Big Data open source tools including but not limited to Java, Map-Reduce, SPARK, HBase, Hive, Kafka, ODBC and SQL query language
Proven design and development experience in clustered compute cloud-based implementation experience
Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources
Experience in building analytical solutions
Experience in databases and data management
Significant experiences in the following are preferred:
Experience with IoT technology
Experience in Agile software development
Job SYSTEMS/INFORMATION TECHNOLOGY
Primary Location United States-Indiana-Columbus-US, IN, Columbus, Corporate Office Building
Job Type Experienced - Exempt / Office
Recruitment Job Type Exempt - Experienced
Job Posting Mar 17, 2023, 3:00:00 AM
Unposting Date Ongoing
Req ID: 230000XH