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AWS Data Engineer ( Experience in the utility industry data) jobs in United States
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Jobs via Dice · 4 months ago

AWS Data Engineer ( Experience in the utility industry data)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Protos IT, is seeking an AWS Data Engineer to design, build, and optimize large-scale data pipelines and analytics solutions on Amazon Web Services (AWS). The role involves managing the end-to-end data lifecycle and ensuring data reliability and accessibility for stakeholders.
Computer Software

Responsibilities

Design, build, and optimize ETL/ELT workflows to ingest data from multiple sources. (e.g., S3, Redshift, Lake Formation, Glue, lambda)
Implement data cleansing, enrichment, and standardization processes
Automate batch and streaming data pipelines for real-time analytics. Build solutions for both streaming (Kinesis, MSK, Lambda) and batch processing (Glue, EMR, Step Functions)
Ensure pipelines are optimized for scalability, performance, and fault tolerance
Optimize SQL queries, data models, and pipeline performance
Ensure efficient use of cloud-native resources (compute, storage, networking)
Design and implement data architecture across data lakes, data warehouses, and lakehouses
Optimize data storage strategies (partitioning, indexing, schema design)
Implement data integration from diverse sources (databases, APIs, IoT, third-party systems)
Work with Data Scientists, Analysts, and BI developers to deliver clean, well-structured data
Document data assets and processes for discoverability
Training of existing core staff who will maintain infrastructure and pipelines

Qualification

AWS Data EngineeringETL/ELT WorkflowsSQLPythonUtility Industry ExperienceData CleansingData ArchitectureData IntegrationDocumentation

Required

Bachelor s degree in Computer Science, Data Engineering, or related field
5+ years of experience in data engineering roles
Proficiency in SQL, Python, or Scala for data transformation and processing
Experience in the utility industry data
Strong understanding of utility data domains: meter data, customer data, grid/asset data, work management, outage data
Familiarity with CIM standards and utility integration frameworks
Working Knowledge of AWS services such as: Storage & Processing: S3, Glue, Redshift, Athena, EMR
Streaming: Kinesis, MSK, Lambda

Company

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Current Stage
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