CLOUD AMAZE - DW Architect (Practice)

Hexaware Technologies

United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Data Analysis Microsoft Azure Big Data Cloud Computing Data Architecture Data Governance Data Systems Distributed Systems Oracle Exadata Apache Hadoop Hadoop Distributed File System Apache Hive

+9 more

Performance Tuning Apache Yarn Snowflake Apache Spark Data Lakes Spark Streaming Data Management Data Pipelines Databricks

Job description

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.

Requirements

Do you have experience in Scalable systems?, 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., * Extensive experience with Apache Spark for big data processing and analytics.

Proficiency in Spark Core, Spark SQL, Spark Streaming, and MLlib.
Knowledge of distributed computing systems and frameworks.
Familiarity with Hadoop ecosystem components such as HDFS, Hive, and YARN. Expertise in optimizing Spark jobs for performance and scalability.
Designing and implementing data platforms on Azure Could using Snowflake and Databricks
Five years of prior experience in modernizing and migrating legacy data platforms to cloud is a must have experience.
Hands-on experience with Exadata is plus, * 10 - 15 years of experience in designing and implementing highly scalable data lakes, Lakehouse’s.
At least 5 years of experience financial domain
3-5 years of experience with SEI Wealth Management must have experience.
5 plus years of experience in creating data models.