Hi,
I hope this email finds you well.
My name is Shivam kumar and I am a Technical Recruiter from Empower Professionals Inc. I came across your profile and wanted to reach out regarding a “AWS Data Architect” role with one of our clients based in “Woodland Hills, CA (Hybrid Onsite)”.Please let me know if you are available in the job market and interested in this role (see job description below) - if so, we can connect and speak further.
I would need your updated resume to proceed and can give you a call as soon as I have it.
Role: AWS Data Architect
Locations: Woodland Hills, CA (Hybrid Onsite)
Duration: 12+ Months Contract
PP number is Must.
Note: Candidate needs to be in the office 3 Days every week. Candidates From California Only.
Must Have: Data Architect, AWS services (S3, EC2, EKS, EMS, VPC, IAM, Glue, Athena ), ETL and Data Pipelines, Python with PySpark hands on coding for automation
Skills:
- AWS Cloud Expertise: Deep understanding of core AWS services (S3, EC2, EKS, EMS, VPC, IAM, Glue, Athena )
- AWS certifications (e.g., Solutions Architect, Big Data Specialty) are highly valued.
- Data Warehousing and Modeling: Strong knowledge of dimensional Modeling, schema design, and data warehousing principles.
- ETL and Data Pipelines: Experience with tools and techniques for data extraction, transformation, and loading.
- Big Data Technologies: Familiarity with Hadoop, Spark, Hive, and other big data frameworks.
- Databases: Proficiency in SQL and experience with relational databases are must and nice to have NoSQL databases (like DynamoDB) experience.
- Programming: Python with PySpark hands on coding for automation, and data processing tasks.
- Data Governance and Security: Understanding of data security best practices, access control, and compliance requirements.
Responsibilities:
- Designing and Implementing Data Solutions: Create blueprints for data storage, processing, and access using AWS services like S3, Glue, EMR, Kinesis by considering factors like performance, scalability, security, and cost-effectiveness.
- Lakehouse and ETL: Component design and build of Lakehouse Solution on AWS using Lambda, EMR and EKS for compute resource and Iceberg and S3 as Storage resource. Design and implement ETL (Extract, Transform, Load) pipelines to move and transform data from various sources into the Lakehouse across Bronze, Silver and Gold layers.
- Data Delivery for Consumption: Design for data access for querying with Athena, Integration of Iceberg Tables in Glue Catalog with Snowflake for Analytics and Reporting
- Big Data Solutions: Working with large datasets and distributed computing using services like EMR (with Spark) to process and Streaming solution with Kinesis, Kafka
- Data Governance and Security: Ensuring data quality, compliance with regulations (like GDPR), and implementing security measures to protect sensitive information.
- Collaboration and Communication: Working with stakeholders (business analysts, data scientists, developers) to understand their needs and translate them into technical solutions. You'll need to explain complex concepts clearly.
Qualifications:
- Education: A bachelor's degree in computer science, engineering, or a related field is usually expected.
- Experience: 10+ years of experience
Awaiting your quick response. Thanks!
P.S. Empower is a top vendor to clients such as Apex Systems LLC, Sogeti, Randstad, CapGemini, UST and more.
Shivam Kumar
Technical recruiter | Empower Professionals
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ShivamK@empowerprofessionals.com |
100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873
www.empowerprofessionals.com
Certified NJ and NY Minority Business Enterprise (NMSDC)
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