6+ years relevant and progressive data engineering experience
In-depth technical expertise with Azure Databricks (PySpark and Python), Microsoft Azure architecture, including Synapse, ADF (Azure Data Factory) pipelines
Extensive hands-on experience with data pipelines, handling various source and target locations such as APIs, Data Lakes, file-based formats, SQL,
Experience in engineering practices such as development, code refactoring, and leveraging design patterns, CI/CD, and building highly scalable data applications and processes
Experience developing batch ETL pipelines; streaming data pipelines are a plus
Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing involving structured and unstructured data
Thorough knowledge of Synapse and SQL Server including T-SQL and stored procedures
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Knowledge and understanding of Boomi is a plus
Additional Qualifications and Experience:
Experience with data ingestion and engineering, specifically involving large data volumes
Knowledge of CI/CD release pipelines is a plus
Knowledge of the Agile development process
Education:
Bachelor's degree in computer science, information technology, business management information systems, or equivalent experience.
Call and WhatsApp NOW: 9813431813
Job Types: Full-time, Permanent
Pay: ?900,000.00 - ?1,300,000.00 per year
Benefits:
Health insurance
Life insurance
Work from home
Application Question(s):
what is your current location?
Experience:
Azure: 6 years (Required)
Shift availability:
Night Shift (Preferred)
Work Location: Remote
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