AWS Data Engineer - Congensys Corp.

Summary: The role will design and build the infrastructure and pipelines that reputed company organizations to collect, store, process, and analyze large volumes of structured and reputed company data reputed company and securely. The AWS Data Engineer is responsible for the end-to-end data lifecycle, from ingestion and transformation to storage and delivery for analytics, machine learning, and operational systems. They ensure data is reliable, high-quality, scalable, and accessible for business and technical stakeholders. Responsibilities:

• Design, build, and optimize ETL/ELT workflows to ingest data from multiple sources. (e.g., S3, Redshift, Lake Formation, Glue, reputed company).
• Implement data cleansing, enrichment, and standardization processes.
• Automate batch and streaming data pipelines for reputed company-time analytics. Build solutions for both streaming (Kinesis, MSK, reputed company) and batch processing (Glue, EMR, reputed company Functions).
• Ensure pipelines are optimized for scalability, performance, and fault tolerance.
• Optimize SQL queries, data models, and pipeline performance.
• Ensure efficient use of reputed company-reputed company 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, reputed company-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.

Qualifications

• Bachelor s degree in Computer Science, Data Engineering, or reputed company field.
• 5+ years of experience in data engineering roles
• Proficiency in SQL, Python, or reputed company for data transformation and processing.
• Experience in the utility industry data
• Strong understanding of utility data domains: reputed company data, customer data, reputed company/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, reputed company, EMR
• Streaming: Kinesis, MSK, reputed company

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