Data Architect (Data Strategy, Azure, PySpark, Snowflake)

Overview

Accepts corp to corp applications
Contract - 6+month(s)

Skills

azure
SNOWFLAKE
MongoDB

Job Details

We need a Data Architect with strong experience in data strategy with Azure, PySpark, Snowflake experience.

Role: Data Architect (Data Strategy, Azure, PySpark, Snowflake)

Location: Ewing NJ 08618 (100% Onsite)

Job Description:

Candidate should have 12-15 years of experience in Data Engineering and Architect area

Data platform strategy, Data migration strategy, Data validation strategy.

Designing, creating, testing and maintaining the complete data management & processing systems.

Working closely with the stakeholders

Contribute towards defining platform roadmap/Architecture/ solution, Design, POCs, prototype, technical evaluation for tech stack finalization and guiding principle for the best practices etc.

Contribute towards understanding the business problems, identify and propose the best technical solution.

Design / Implement DWH, data model, Data Pipelines/ Analytics; Handling NFR & benchmarking

Creating data models to reduce system complexities and hence increase efficiency & reduce cost.

Introducing new data management tools & technologies into the existing system to make it more efficient.

Ensuring architecture meets the business requirements.

Building highly scalable, robust & fault-tolerant systems.

Taking care of the complete ETL process.

Must have knowledge and working experience in Real-time processing Framework (Apache Spark), PySpark and in Azure

Must have experience on SQL-based technologies (e.g. MySQL/ Oracle DB) and NoSQL technologies (e.g. Cassandra and MongoDB)

Experience in Snowflake

Discovering data acquisitions opportunities

Finding ways & methods to find value out of existing data.

Improving data quality, reliability & efficiency of the individual components & the complete system.

Setting & achieving individual as well as the team goal.

Problem solving mindset working in agile environment

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