Position Details

Salary $95K – $115K USD / year

Type Not Specified

Experience mid

Exp. Years 4+ years

Education Bachelor's degree in Computer Science or a related field

Category Data & Analytics

About this role

Motorola Solutions is seeking a Sr. Data Engineer to develop and optimize scalable data pipelines using Fabric and Apache Spark, supporting mission-critical data solutions in cloud environments.

Key Responsibilities

Design ETL/ELT pipelines
Implement and test data workflows
Ensure data quality and governance
Collaborate with technical teams
Support cloud-based data solutions

Technical Overview

Role involves designing ETL/ELT pipelines, managing data quality and governance, working with Fabric Data Engineer, Apache Spark, and cloud platforms like Azure and AWS for real-time and batch data processing.

Ideal Candidate

The ideal candidate is a mid-level data engineer with over 4 years experience in designing and optimizing ETL/ELT pipelines using Fabric and Apache Spark, with strong knowledge of data governance and cloud platforms like Azure and AWS.

Must-Have Skills

Designimplementtestand optimize ETL/ELT pipelinesExperience with Fabric Data EngineerApache SparkData quality and governanceCloud platforms (AWS/Azure)Data modeling

Nice-to-Have Skills

MLOpsReal-time data processingData securityData integrationCost management

Tools & Platforms

Apache SparkFabric Data EngineerAzureData LakesAPIsDatabricks

Required Skills

Apache SparkFabric Data EngineerETL/ELT pipelinesData LakesAPIsData qualityData governancePythonPowerShellC#.NET CoreSQLData modelingAzureCloud platforms

Hard Skills

Apache SparkFabric Data EngineerETL/ELT pipelinesData LakesAPIsData qualityData governancePythonPowerShellC#.NET CoreSQLRelational data modelsNon-relational data modelsAzureCloud platforms

Soft Skills

CollaborationCommunicationResilienceFlexibilityProblem-solving

Industry & Role

Industry Public Safety, SaaS, Cloud Computing

Job Function Data pipeline development and data management in cloud environments

Role Subtype Data Engineer

Tech Domains Apache Spark, Azure, Amazon Web Services, Data pipelines, Data governance

Keywords for Your Resume

Apache SparkFabric Data EngineerETL pipelinesELT pipelinesData LakesAPIsData qualityData governanceData modelingAzureCloud platformsData integration

Deal Breakers

Lack of experience with Fabric Data Engineer or Apache Spark, No background in data modeling or governance, Unfamiliar with cloud platforms like Azure or AWS, Inability to work in a hybrid environment

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