AWS Data Engineer

Capgemini; Newark (NJ); On-site; USD 45,000 - 70,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is hiring an AWS Data Engineer in Newark, NJ to design and maintain scalable data pipelines on AWS. You will collaborate with data scientists, analysts and business stakeholders to deliver robust data solutions across data lakes and warehouses.

The role involves building ingestion workflows from on-prem to AWS, implementing ETL/ELT processes, and migrating data to AWS data stores.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent
• 5 years of experience implementing and supporting data lakes, data warehouses and data applications on AWS for large enterprises
• Strong programming experience with Python, Shell scripting and SQL
• Experience with AWS data services and serverless architectures
• Experience in ETL/ELT, data modeling and cloud data warehousing concepts

Responsibilities

• Design, build and maintain data pipelines and architectures on AWS
• Build ingestion pipelines from on-prem to AWS and within AWS
• Develop and manage ETL/ELT processes across multiple sources
• Architect end-to-end data solutions focusing on data lakes and data warehouses
• Collaborate with data scientists, analysts and stakeholders
• Perform hands-on development, testing and code reviews
• Implement serverless apps using AWS Lambda, API Gateway and Step Functions
• Migrate data to AWS data lakes (S3, RDS, Aurora, Redshift)
• Implement streaming using Kinesis, SQS and Kafka
• Define CICD strategies for enterprise data platforms
• Work with cross-functional teams throughout the SDLC
• POC new tools and ensure cost, reliability and scalability

Skills

Python

Shell scripting

SQL

Education

Bachelor's degree in Computer Science/Software Engineering/MIS

Tools

AWS services: CloudFormation, S3, Athena, Glue, EMR, Spark, Redshift, RDS, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager

Job description

We are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team The ideal candidate will be responsible for designing developing and maintaining scalable data pipelines and architectures in the AWS cloud environment This role will collaborate closely with data scientists analysts and other business stakeholders to deliver robust data solutions

Key Responsibilities:

Design build and maintain efficient reusable and reliable architecture and code for data pipelines and data applications on AWS

Build robust data ingestion pipelines from on-prem to AWS and within AWS using AWS services such as Glue Redshift S3 Lambda EMR Spark Kinesis and SQS

Develop and manage ETL/ELT processes to collect process and store data from multiple sources ensuring data quality integrity and security

Architect and implement end to end data solutions ingestion storage integration processing access on AWS with a focus on data lakes and data warehouses

Participate in the architecture and system design discussions for high-scale data engineering projects

Independently perform hands‑on development unit testing and participate in code reviews to ensure adherence to best practices

Implement serverless applications using AWS Lambda API Gateway Step Functions and other AWS technologies

Migrate data from traditional relational databases file systems and APIs to AWS based data lakes S3 RDS Aurora and Redshift

Implement high velocity streaming solutions using Amazon Kinesis SQS and Kafka preferred

Architect and implement CICD strategies for enterprise data platforms

Collaborate with product operations QA and crossfunctional teams throughout the software development cycle

Stay abreast of new technology developments implement POCs for new tools technologies and onboard them for real world use cases

Identify and resolve performance issues and continuously optimize for cost reliability and scalability

Required Qualifications:

Bachelors degree in Computer Science Software Engineering MIS or equivalent combination of education and experience

5 years of experience implementing and supporting data lakes data warehouses and data applications on AWS for large enterprises

Strong programming experience with Python Shell scripting and SQL

Solid experience with AWS services CloudFormation S3 Athena Glue EMR Spark RDS Redshift DynamoDB Lambda Step Functions IAM KMS Secrets Manager

Experience in serverless application development and data pipeline orchestration

Experience in system analysis design development and implementation of data ingestion pipelines in AWS

Knowledge of ETLELT data modeling and big data technologies

Familiarity with data warehousing concepts and cloud based architecture

Strong problem solving skills and attention to detail

Excellent communication and teamwork abilities

Preferred Qualifications:

Experience with additional AWS services API Gateway ElasticSearch SQS

Experience with infrastructureascode tools eg Terraform CloudFormation

Experience with DevOps practices and CICD pipelines

Experience implementing endtoend streaming solutions Amazon Kinesis SQS Kafka

AWS Solutions Architect or AWS Developer Certification preferred

Understanding of Lakehousedata cloud architecture

Knowledge of data governance and compliance standards

The pay range that the employer in good faith reasonably expects to pay for this position is $32.36/hour - $50.56/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.