senior Azure Data Engineer::Dallas TX(Onsite)

Title : Azure Data Engineer

Location : Dallas, TX(Onsite)

Rate: on C2C/W2/Full time

Expereince : 12 + Years

Mandatory skills:

• Azure Data Factory
• Azure Synapse
• SQL
• Pyspark
• Rest API
• ADLS Gen2/Blob

Excellent interpersonal and communication skills (written as well as verbal)

Must have a positive attitude, attention to detail, be a team player, possess good problem solving skills, and have a strong work ethic

Ability and desire to learn and work with new technologies as needed.

Job Summary:

The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and maintenance of large-scale, complex data processing systems on the Azure platform. They work with data architects, data scientists, and other stakeholders to ensure data solutions are scalable, reliable, and secure.

Job Description:

Job Responsibilities

Design and implement Data Ingestion from multiple sources to Azure Data Storage services.

Implement Azure data services and tools to ingest, egress, and transform data from multiple sources.

Responsible for creating an ETL pipeline with Azure Ecosystem like Azure Data Bricks, Azure Data Factory.

Build simple to complex pipelines, activities, Datasets & data flows

Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement transformation logic and stage transformed data.

Design data ingestion into data modelling services to create cross domain data models for end user consumption.

Implement ETL, related jobs to curate, transform and aggregate data to create source models for end user analytics use cases.

Scheduling automation and monitoring instrumentation for data movement jobs.

Working experience with Azure monitor and Azure log Analytics.

Background work on legacy data warehouses and Big Data will be plus.

Should have fair knowledge of the consumption layer (BI) and the business processes.

Implement/Support Azure DBaaS infrastructure and services

Experience working in Agile/Scrum/Kanban team environments

Candidate Profile / Qualification

A Minimum of a Bachelor's degree in Computer Science or related software engineering discipline, or equivalent

7-9 years of experience managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc.

Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build simple to complex notebooks, pipelines, activities, Datasets & data flows.

Experience with message ingestion systems like Kafka / Azure Event Hub.

Experience in data modelling and Proficient in SQL developer skills in writing stored procedures, functions, transformations etc.

Experience in PySpark and data factory is must

Knowledge in Service provisioning, scripted provisioning, blueprint development for data service deployment etc.

Excellent oral and written communication skills.

Candidate should possess a strong work ethic, good interpersonal and communication skills, and a high energy level