What are the responsibilities and job description for the AWS Data Engineer - Chicago IL - W2 position at CLIECON SOLUTIONS?
Job Details
Cliecon Solutions Inc, (head quartered in central NJ ) is one of the fastest growing and a leading consulting and management firm with 12 years of experience in Staff Augmentation. We handle complete recruiting cycle for fortune 500 clients, major implementing partners and tier -1 vendors. We specialized in recruiting for Application development, Big data, Databases, Infrastructure, Cloud, Mobile and ERP based solutions projects.
Job Title: AWS Data Engineer
Location: Chicago IL
Duration: 6-12 Months
Job description:
Typical duties and responsibilities:
Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3.
Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes.
Create and manage applications using Python, SQL, Databricks, and various AWS technologies.
Quickly develop innovative Proof-of-Concept (POC) solutions and services to address emerging needs.
Provide Run/DevOps support and manage the ongoing operation of data services.
Automate repetitive tasks and build reusable frameworks to improve efficiency.
Collaborate with teams to design and develop data products that support marketing and other business functions.
Ensure our data services are reliable, maintainable, and seamlessly integrated with existing systems
Required skills and experience:
Bachelor's degree in Computer Science, Engineering, or a related field.
10 years of experience with AWS services including S3, Lambda, API Gateway, and SQS.
7 years of experience with data processing tools like Spark, Hive, Kafka, and Airflow.
Strong skills in data engineering on AWS, with proficiency in Python.
Experience with batch job scheduling and managing data dependencies.
Knowledge with DevOps automation tools like GitLab, Bitbucket, Jenkins, and Maven.
Location: Chicago IL
Duration: 6-12 Months
Job description:
Typical duties and responsibilities:
Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3.
Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes.
Create and manage applications using Python, SQL, Databricks, and various AWS technologies.
Quickly develop innovative Proof-of-Concept (POC) solutions and services to address emerging needs.
Provide Run/DevOps support and manage the ongoing operation of data services.
Automate repetitive tasks and build reusable frameworks to improve efficiency.
Collaborate with teams to design and develop data products that support marketing and other business functions.
Ensure our data services are reliable, maintainable, and seamlessly integrated with existing systems
Required skills and experience:
Bachelor's degree in Computer Science, Engineering, or a related field.
10 years of experience with AWS services including S3, Lambda, API Gateway, and SQS.
7 years of experience with data processing tools like Spark, Hive, Kafka, and Airflow.
Strong skills in data engineering on AWS, with proficiency in Python.
Experience with batch job scheduling and managing data dependencies.
Knowledge with DevOps automation tools like GitLab, Bitbucket, Jenkins, and Maven.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
