Cloud Big Data Architect @ Reston, VA for a Full-time role

Reston, VA, US • Posted 18 hours ago • Updated 18 hours ago
Full Time
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • PySpark
  • Python
  • AWS
  • Redshift
  • Lamba
  • Amazon EC2
  • Amazon Redshift
  • Amazon S3
  • Amazon Web Services
  • Big Data
  • Data Architecture
  • Data Governance
  • Data Migration
  • Data Warehouse
  • Database Design
  • Regulatory Compliance
  • IT Management
  • Cloud Computing
  • Performance Tuning

Summary

What Working at Hexaware Offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profiles. We complete the circle with excellent growth opportunities, chances to collaborate with high-profile customers, opportunities to work alongside brilliant minds, and the perfect work-life balance.

Title: Cloud Data Architect
Location: Reston, VA
Mode of work: Onsite
Experience: 12-15+ Years

Primary Skills: PySpark, Python, Redshift, AWS

Expertise in AWS services such as Redshift, S3, Glue, Lambda, and EC2.
Hands-on experience with Redshift database design, optimization, and query performance tuning.
Knowledge of ETL processes and data migration to AWS Redshift.
Proficiency in designing data lakes and data warehouses on AWS.

Role Overview:
We are seeking highly skilled and experienced Data Practice / Solution Architects to work onsite with our esteemed clients. The ideal candidates will have expertise in designing and implementing cutting-edge data solutions tailored to the client's specific needs. The roles require a deep understanding of cloud platforms, big data technologies, and data architecture principles. The architects will be responsible for driving end-to-end data strategies, ensuring scalability, performance, and reliability of data systems.

Key Responsibilities:
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Design and implement scalable, secure, and high-performance data architectures.
Provide technical leadership and guidance to development teams.
Optimize data pipelines, storage, and processing frameworks for efficiency and cost-effectiveness.
Ensure data governance, security, and compliance standards are met.
Evaluate and recommend tools, technologies, and frameworks based on project needs.
Conduct performance tuning and troubleshooting of data systems.
Stay updated with emerging trends and technologies in cloud and big data ecosystems. Cloud Data Architect (AWS / PySpark / Redshift):

Expertise in AWS services such as Redshift, S3, Glue, Lambda, and EC2.
Hands-on experience with Redshift database design, optimization, and query performance tuning.
Knowledge of ETL processes and data migration to AWS Redshift.
Proficiency in designing data lakes and data warehouses on AWS.

Equal Opportunities Employer:

Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: hexaware
  • Position Id: CBDA_Reston
  • Posted 18 hours ago
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