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AWS Data Engineer

Spectraforce Technologies

Title: AWS Data Engineer
Location: Newark, NJ (Hybrid)
Duration: 12 Months

Job Description:

Responsibilities:
  • Designing, building, and maintaining efficient, reusable, and reliable code
  • Ensure the best possible performance and quality of high scale data applications and services
  • Participate in system design discussions
  • Independently perform hands on development and unit testing of the applications
  • Collaborate with the development team and build individual components into enterprise data platform
  • Work in a team environment with product, 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
  • Project management: Agile developers take responsibility for estimating, planning, and managing all tasks and report on progress
  • Software quality: The Agile developer is also responsible for the quality of the software he/she produces. The team takes responsibility for the quality of the work they produce instead of turning over some code to a separate and independent group for testing
  • Teamwork: This includes collaboration with all other team members with the aim to take shared responsibility for the overall efforts
  • Understanding user needs: This is about interacting with users as necessary to clarify requirements
Primary & Must-Have Skills
  • AWS Core Ecosystem: Glue, Lambda, S3, IAM Roles, Redshift, RDS.
  • Infrastructure as Code (IaC): Writing CloudFormation templates.
  • DevOps / CI-CD: GitHub repository version control, Jenkins, SonarQube, and X-Ray.
  • Programming & Data Languages: Expert-level proficiency in Python (for Lambda) and SQL queries.


Nice-to-Have Ecosystem Tools
  • Candidates will build integrations between these ecosystem tools using the AWS tech stack. Prior familiarity with any of the following is a major plus:
  • Informatica: Specifically Data Catalog, Data Lineage, and Data Marketplace.
  • Denodo: For data virtualization and data semantics.
  • Ataccama: For Master Data Management (MDM), Reference Data Management (RDM), and data quality observability.


Background & Experience Profile
  • Years of Experience: Around 8+ years of experience (Senior level).
  • AWS Certifications: While strong experience is evaluated, certifications are highly preferred because they ensure a 360-degree visibility of AWS services for architectural design optimizations.
Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
  • 8+ years of experience as Data Engineer on AWS Stack with experience on DevOps tool
  • AWS Solutions Architect or AWS Developer Certification required
  • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, EventBridge, EC2, SQS, SNS, LakeFormation, CloudWatch, Cloud Trail
  • Implement high velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed Airflow and AWS Managed Kafka (preferred)
  • Solid experience building solutions on AWS data lake/data warehouse
  • Analyze, design, development, and implementation of data ingestion pipeline in AWS
  • Knowledge implementing ETL/ELT for data solutions
  • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
  • Knowledge implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model
  • Build & implement CI/CD pipelines for EDP Platform using CloudFormation and Jenkins
  • Programming experience with Python, Shell scripting and SQL
  • Knowledge of analyzing data using SQL Stored procedures
  • Build automated data pipelines to ingest data from relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
  • Build Automated data pipelines to ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
  • Good Experience of DevOps practice
  • Experience with modern source code management and software repository systems (Bitbucket)
  • Experience with programming languages (Python)
  • Experience with scripting languages (Shell, Groovy)
  • Experience with API deployment for tooling integration
  • Experience using Jenkins, CloudBees (Pipeline as Code, Shared Libraries)
  • The ability to document exceptions/issues/action plans/meeting minutes/lessons learned accurately and in a timely fashion
  • Experience with administering DevOps tools in SaaS
  • Experience using DevOps Tools (SonarQube, Artifactory etc.)
  • Experience using build tools (Maven, MS Build and Gradle)
  • Experience using containers (Docker)
  • Experience using Atlassian suite (Jira, Confluence)
  • Experience of Infrastructure as Code using CloudFormation
  • Creating Jenkins CI pipelines to integrate Sonar/Security scans and test automation scripts
  • Part of DevOps QA and AWS team focusing on building CI/CD pipeline
  • Responsible for writing and maintaining Jenkins Pipelines
Vacancy posted 3 days ago
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