AWS Data Engineer
Microgreen Technologies LLC
Dice Job Match Score™
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Job Details
Skills
- • AWS (Strong Hands-On): Extensive experience with AWS data services
- particularly S3
- AWS Glue
- Lake Formation
- Lambda
- Step Functions
- and AWS CLI. • Python (Strong): Hands-on Python development
- scripting
- APIs
- and data pipeline development. • Data Pipeline Development: Experience building production data pipelines from scratch
- including ingestion
- transformation
- and cross-platform data connectivity. • Database Skills: Strong database knowledge
- particularly PostgreSQL and DynamoDB. • Apache Spark / PySpark: Experience with distributed data processing and data engineering workloads. • AWS Data Lake: Hands-on experience working with AWS-based data lake environments and data integration. • CI/CD Pipelines: Experience with Jenkins
- Bitbucket
- and automated code deployment across environments. • DevOps Tools: Familiarity with ServiceNow and enterprise code promotion
- governance
- and deployment processes. • Hands-On Development: Must be a strong developer capable of independently building AWS Lambda functions and end-to-end data pipelines
- not an architecture-only candidate.
Summary
Please find the job description below.
Need OR this is with JPMC C2H role
The rate I can pay is $ 55-60 per hour need candidates with 8+ years of experience.
Need Strong AWS experience.
Must-Have Skills
- AWS (Strong Hands-On): Extensive experience with AWS data services, particularly S3, AWS Glue, Lake Formation, Lambda, Step Functions, and AWS CLI.
- Python (Strong): Hands-on Python development, scripting, APIs, and data pipeline development.
- Data Pipeline Development: Experience building production data pipelines from scratch, including ingestion, transformation, and cross-platform data connectivity.
- Database Skills: Strong database knowledge, particularly PostgreSQL and DynamoDB.
- Apache Spark / PySpark: Experience with distributed data processing and data engineering workloads.
- AWS Data Lake: Hands-on experience working with AWS-based data lake environments and data integration.
- CI/CD Pipelines: Experience with Jenkins, Bitbucket, and automated code deployment across environments.
- DevOps Tools: Familiarity with ServiceNow and enterprise code promotion, governance, and deployment processes.
- Hands-On Development: Must be a strong developer capable of independently building AWS Lambda functions and end-to-end data pipelines, not an architecture-only candidate.
Good-to-Have Skills
- Snowflake: Experience working with Snowflake data platforms and integrations.
- Databricks: Exposure to Databricks and interoperability between data platforms.
- Apache Iceberg: Understanding of Iceberg tables, data lake interoperability, and cross-platform data sharing.
- Agentic AI: Basic understanding of AI agents, agent creation, and agentic workflows.
- AWS Bedrock: Basic knowledge of Amazon Bedrock and its integration with AI applications.
- AI Tools: Familiarity with AI tools and their integration into development workflows.
- Google Cloud / Azure: Exposure to additional cloud platforms is beneficial but not required.
- Dice Id: 91109870
- Position Id: 3150-38163-1792783010
- Posted 49 minutes ago
Company Info
A great team is the sum of its people. We are looking for those who want to make a difference with their talents and are looking to grow and learn EVERY.SINGLE.DAY.
Do you consider yourself an innovator? Do you measure each day by what you have accomplished? Read more.
From our business analysts who help identify the next opportunity to partner and addess a healthcare problem to our data visualization and AI/ML engineers who are adept with the latest technologies to our client support specialists who make sure that we are meeting and exceeding expectations, each team member is vital and we want to grow together. Collaboration, respect, and great work-life balance are key in our work culture.