Azure Data Architect

Role: Azure Data Architect

Location: Cary NC (Onsite)

Fulltime / Permanent

Job Description:

Skill: Azure Data Architect

• Collect store process and analyze large datasets to build and implement extract transfer load (ETL) processes.
• Develop reusable frameworks to reduce the development effort involved thereby ensuring cost savings for the projects.
• Develop quality code with thought through performance optimizations in place right at the development stage.
• Appetite to learn new technologies and be ready to work on new cuttingedge cloud technologies.
• Work with team spread across the globe in driving the delivery of projects and recommend development and performance improvements.

Essential Business Experience and Technical Skills:

• Building and Implementing data ingestion and curation process developed using Big data tools such as Spark (Scala/python/Java) Hive HDFS Sqoop Kafka Kerberos Impala etc. and CDP 7.x
• Ingesting huge volumes data from various platforms for Analytics needs and writing highperformance reliable and maintainable ETL code Strong.
• Strong analytic skills related to working with unstructured datasets.
• Strong experience in building/designing Data warehouses data stores for analytics consumption On prem and Cloud (real time as well as batch use cases).
• Ability to interact with business analysts and functional analysts in getting the requirements and implementing the ETL solutions.

Required:

• 8 years of solutions development and delivery experience with 5 years of recent experience in data engineering.
• Proficiency and extensive experience with Spark & Scala/Python and performance tuning.
• Hive database management and Performance tuning Partitioning / Bucketing.
• Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
• Very good problem solver and excellent communication skills both written and verbal.

Preferred:

• Expertise in Python and experience writing Azure functions using Python/Node.js
• Experience using Event Hub for data integrations.
• Hands on expertise in: Implementing analytical data stores in Azure platform using ADLS/Azure data factory /Data Bricks and Cosmos DB (mongo/graph API).
• Experience ingesting using Azure data factory Complex ETL using Data Bricks.
• Eagerness to learn new technologies on the fly and ship to production.