Azure Data Architect
Syntricate Technologies
Azure Data Architect
Location: Cary, NC (Onsite)
Fulltime only (USC/GC/GCEAD)
Location: Cary, NC (Onsite)
Fulltime only (USC/GC/GCEAD)
- 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 cutting-edge cloud technologies.
- Work with team spread across the globe in driving the delivery of projects and recommend development and performance improvements.
- 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 high-performance, 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.
- 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.
- 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.
Vacancy posted 3 days ago
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