Position Details

Type Full-Time

Experience lead

Exp. Years Not specified

Education Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field

Category Data & Analytics

About this role

Lead Data Engineer for HR IT, designing and delivering scalable data management solutions to power analytics across Rockwell Automation. You will architect data pipelines, manage cloud and edge infrastructure, and collaborate with stakeholders to shape data-driven innovation.

Key Responsibilities

Design, code, and test new data management solutions, including data pipelines
Architect data structures for Data as a Service
Develop and test infrastructure components in cloud and edge environments
Manage DevOps pipelines and containerization
Collaborate with analysts and stakeholders to define requirements

Technical Overview

Hands-on with Azure data platform tools (ADF, ADLS), Databricks, SAP Data Services, and SQL. Build and test data pipelines, manage DevOps pipelines, containerization, and governance in a hybrid enterprise environment.

Ideal Candidate

The ideal candidate is a senior data engineer with strong Azure data platform experience (ADF, ADLS, Databricks), SAP Data Services, and a track record of delivering scalable data pipelines in a hybrid, global setting.

Must-Have Skills

Bachelor's degree in Computer ScienceSoftware EngineeringInformation Systemsor related fieldExperience in the full systems development lifecycle and Agile methodologiesProficiency in data management technologies such as Azure ADFADLSSQLDatabricksSAP Data Servicesand tabular modelsStrong understanding of server-side architecturescontainerizationand DevOps practicesAbility to manage multiple projects simultaneously and adapt quickly to new technologies and business needs

Nice-to-Have Skills

Familiarity with open-source data management tools and domain-specific programming languagesExperience working with business stakeholders to translate data into actionable insightsStrong analytical and problem-solving skillswith the ability to distill complex data into clear narratives and recommendationsExposure to enterprise architecture and cross-functional collaboration in a global environment

Tools & Platforms

Microsoft AzureAzure Data FactoryAzure Data Lake StorageDatabricksSAP Data ServicesSQLTabular models

Required Skills

Azure Data FactoryAzure Data Lake StorageDatabricksSAP Data ServicesSQLtabular modelsDevOpsCI/CDcontainerizationREST APIsAgilefull SDLCdata managementdata pipelines

Hard Skills

Azure Data FactoryAzure Data Lake StorageDatabricksSAP Data ServicesSQLtabular modelsDevOpsCI/CDcontainerizationREST APIs

Soft Skills

communicationcollaborationproblem-solvinganalytical thinkingstakeholder managementability to manage multiple projects

Industry & Role

Industry Manufacturing

Job Function Lead the design and delivery of enterprise data pipelines and analytics solutions in HR IT

Role Subtype Data Engineer

Tech Domains Azure, Azure Data Factory, Azure Data Lake Storage, Databricks, SQL / PostgreSQL

Keywords for Your Resume

Lead Data EngineerLead Data Engineer - HR ITPuneAzure Data FactoryAzure Data Lake StorageDatabricksSAP Data ServicesSQLtabular modelsDevOpsCI/CDcontainerizationREST APIsAgilefull SDLCData as a Servicedata managementdata pipelineshybridlead data engineerazuredatabricksazure data factorysap data servicessqldevopsci/cdagile

Deal Breakers

Bachelor's degree not possessed, No experience with Microsoft Azure data tools, Lack of Agile/SDLC experience

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