SIGNUP

Job Opportunities

Find jobs near you, whether onsite, hybrid, or remote.
  • Similar Jobs to: Heavy Equipment Operator FrontEnd Loader
XX
AWS Data EngineerComputer Task • Armonk, New York, United States
Apply Now
XX

AWS Data Engineer

Computer Task
  • US
    Armonk, New York, United States
  • US
    Armonk, New York, United States
Apply Now

About

CTG is seeking an experienced AWS Data Engineer to design, develop, and optimize enterprise‑scale data engineering solutions within the AWS Cloud ecosystem. The ideal candidate will have extensive experience building data lakes, data warehouses, batch and streaming data pipelines, and cloud‑native ETL/ELT solutions using AWS services and modern open‑source technologies.
Location: Armonk, NY
Duration: 6 months
Primary Responsibilities
Design, build, and maintain scalable AWS data engineering solutions.
Develop end‑to‑end data pipelines for ingestion, transformation, storage, and analytics.
Build batch and real‑time data processing solutions using AWS Glue, EMR, Kinesis, Spark, and Kafka.
Design and implement enterprise data lakes and data warehouse architectures.
Develop ETL/ELT workflows using Python, SQL, Spark, and AWS‑native services.
Migrate enterprise data from on‑premises environments to AWS using AWS DMS.
Build API‑driven data integration pipelines utilizing API Gateway, Lambda, and SQS.
Develop serverless data processing solutions using Lambda and Step Functions.
Design scalable data models supporting analytics and reporting initiatives.
Implement CI/CD pipelines and DevOps best practices for data engineering deployments.
Optimize performance, scalability, reliability, and cost across AWS data platforms.
Collaborate with architects, developers, analysts, and business stakeholders to deliver high‑quality solutions.
Participate in code reviews, technical design discussions, and continuous improvement initiatives.
Required Skills
Strong AWS data engineering experience
Enterprise data lakes and data warehousing
End-to-end AWS data platform architecture
Batch and streaming data pipelines
ETL/ELT development and data modeling
Python, SQL, and shell scripting
Amazon S3
AWS Glue and Glue Catalog
Amazon EMR with Spark
Amazon Athena
Amazon Redshift and Redshift Spectrum
Amazon RDS
Amazon DynamoDB
AWS Lambda
AWS Step Functions
AWS IAM and KMS
AWS Database Migration Service (DMS)
API Gateway
Amazon SQS
Amazon Kinesis
Amazon OpenSearch (Elasticsearch)
Apache Kafka (MSK)
Apache Airflow
dbt
Spark (Python or Scala)
CI/CD and DevOps practices
Lakehouse architecture
Cloud analytics platforms
Performance tuning and optimization
Strong collaboration and communication skills
Experience
5+ years of professional data engineering experience.
Hands‑on experience developing enterprise AWS data platforms.
Experience building and maintaining large‑scale batch and streaming data pipelines.
Proven experience with AWS data migration projects. Experience supporting data warehouse and data lake initiatives.
Experience working in Agile development environments.
Background check required.
Education
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
Equivalent professional experience may be considered in lieu of a degree.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.
#J-18808-Ljbffr
  • Armonk, New York, United States

Languages

  • English
Notice for Users

This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.