• Pune
• Cummins India

**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