What are the responsibilities and job description for the Data Engineer position at Steneral Consulting?
Job title Dra Engineer
Location Hybrid ( Need local to NJ or NY only )
Rate $60/hr on C2C Few flex with Rate
Visa USC
Note : Special Skillset (AI/ML, AWS)/AWS Data Engineer
Need DL and LinkedIn profile link
Qualifications
Need 5-10 years of experience candidates
Location Hybrid ( Need local to NJ or NY only )
Rate $60/hr on C2C Few flex with Rate
Visa USC
Note : Special Skillset (AI/ML, AWS)/AWS Data Engineer
Need DL and LinkedIn profile link
Qualifications
Need 5-10 years of experience candidates
- Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
- Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises
- Programming experience with Python, Shell scripting and SQL
- Solid experience of AWS services such as CloudFormation, S3, Athena , Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
- Solid experience implementing solutions on AWS based data lakes.
- Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, ElasticSearch
- Serverless application development using AWS Lambda
- Experience in AWS data lake/data warehouse/business analytics
- Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
- Knowledge of ETL/ELT
- End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
- Architect and implement CI/CD strategy for EDP
- Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)
- Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
- Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift
- Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case
- AWS Solutions Architect or AWS Developer Certification preferred
- Good understanding of Lakehouse/data cloud architecture
- Designing, building and maintaining efficient, reusable, and reliable architecture and code.
- Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc)
- Ensure the best possible performance and quality of high scale data engineering project
- Participate in the architecture and system design discussions
- Independently perform hands on development and unit testing of the applications;
- Collaborate with the development team and build individual components into complex enterprise web systems;
- Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle;
- Responsible to identify and resolve any performance issues
- Keep up to date with new technology development and implementation
- Participate in code review to make sure standards and best practices are met.
Salary : $60
