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Company

Cognizant · 4 hours ago

Sr. AWS Architect

Parsippany, NJ

Full-time

Remote

Senior Level, Lead/Staff

$117K/yr - $137K/yr

12+ years exp

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Responsibilities

Understand business requirements and existing system designs, enterprise applications, IT security guidelines, Legal Protocols.

Design, build and operationalize data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties.

Actively participate in optimization and performance tuning of data ingestion and SQL processes.

Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.

Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.

Analyze, re-architect and re-platform on-premises data warehouses to data platforms on AWS cloud using AWS or 3rd party services.

Understand and implement security and version controls.

Aid data engineers in crafting ETL processes, conducting code reviews, and facilitating information exchange.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AWSData warehousingETL pipelineData modellingAWS Certified Solutions ArchitectCertified Data Management ProfessionalData Lake conceptsData migration strategyAWS S3AWS EC2AWS AthenaAWS GluePySparkAWS EMRAWS RedshiftData Intelligence conceptsAWS well-architected frameworkPythonETL tool

Required

Experience in AWS and enterprise data warehousing project/ETL (building ETL pipeline), Enterprise Data Engineering and Analytics projects.

Clear understanding Data warehousing and Data Lake concepts.

Data modelling experience and should be able to collaborate with other teams within project/program.

Proven experience in data modelling & analysis, data migration strategy, cleanse and migrate large master data sets, data alignment across multiple applications, data governance.

Able to assist in making technology choices and decisions in an enterprise architecture scenario.

Possess working experience in different database environment/applications like OLTP, OLAP etc.

Knowledge on basic AWS services like S3, EC2, etc; and experience in any of the following AWS Athena and Glue PySpark, EMR, Redshift.

Redshift implementation with hands-on experience in AWS.

Ability to explain data lake architecture using AWS services.

In-depth knowledge on AWS well-architected framework.

Good programming skill using scripting (e.g. Python).

Excellent client interfacing and interpersonal skills.

Very good understanding of Data Intelligence concepts technologies etc.

Certifications Required: AWS Certified Solutions Architect, Certified Data Management Professional (CDMP)