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IMPORTANT REQUIREMENT: Sr. Azure Data Engineer (Data Bricks) || Remote Project || Client: NTT Data || NO H1B/OPT..

Role: Sr. Azure Data Engineer (Data Bricks)

Location: Remote Project

Duration: 12+ Month

MOI: Video

Client: NTT Data

NO H1B/OPT

Candidate must have Solid experience with Data Bricks.

Key Skills:

• Azure Data bricks, Azure data factory, Pyspark, Python, good communication skills.
• Need a Sr. Level candidate with at least 8 years’ experience who is self-sufficient and can work with minimal supervision. Good communication skills as this person will be interacting with other teams.  They will be pulling data from existing sources to data bricks.

Job Description:
Job Duties: Key Responsibilities:
· Design and implement tailored data solutions to meet customer needs and use cases, spanning from ingesting data from APIs, building data pipelines, analytics, and beyond within a dynamically evolving technical stack.
· Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
· Demonstrate proficiency in coding skills, utilizing languages such as Python, SQL, and PySpark to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
· Collaborate seamlessly across diverse technical stacks, including Databricks, SQL Server, and Azure.
· Develop and deliver detailed presentations to effectively communicate complex technical concepts.
· Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
· Adhere to Agile practices throughout the solution development process.
· Design, build, and deploy databases and data stores to support organizational requirements.

Basic Qualifications:

•  2-4 years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
•  2+ years of experience supporting data related projects to develop end-to-end technical solutions.

Preferred Skills:

• Demonstrate production experience in core data platforms such as SQL Server, Databricks, Azure, Spark, Hadoop, and more.
• Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, ADLS.
• Exhibit a strong understanding of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Azure DataFactory.
• Showcase professional written and verbal communication skills to effectively convey complex technical concepts.
• Undergraduate or Graduate degree preferred

Minimum Skills Required:
● Experience with building data pipelines – using a variety of different technologies; Azure Data Factory, SSIS, Python & Spark(2-4 years)
● Strong understanding of SQL (2-4 years)
● Experience developing with Python (2-3 Years)
Experienced working with Databricks in Azure cloud (2-3 Years)