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Azure Data Engineer

Remote: 
Full Remote
Contract: 
Full time
Work from: 
India

Offer summary

Qualifications:

Hands-on experience with MySQL/MS SQL Server/Oracle or similar RDBMS., Proficiency in Azure Data Bricks, Pyspark, Python, and Azure Data Factory., Knowledge of data lake, delta lake, and data warehousing solutions on Azure., Familiarity with DevOps, OLAP, and data modeling techniques..

Key responsibilities:

  • Develop big data pipelines using Azure and open-source tools.
  • Extract data from APIs and Cloud Services like Salesforce and S3.
  • Create data processing pipelines and ETLs using PySpark and Data Bricks.
  • Utilize Synapse/SQL DWH to present data securely and manage data models.

Stratonik logo
Stratonik https://www.stratonik.com
11 - 50 Employees
See all jobs

Job description

Job Description:
Primary Skill Set: Azure Data Bricks, Pyspark & Python, Azure Data Factory, Data Lake,
Synapse / SQL DWH
Preferred skills: DevOps, OLAP, Data Warehousing, Data Modeling
Job Description:
Hands-on experience in MySQL/MS SQL Server/Oracle or similar RDBMS platform
Developing big data pipelines using Azure and open-source big data tools and technologies
Knowledge in data lake / delta lake / data warehousing solutions on Azure
Experience of extracting data from APIs and Cloud Services (Salesforce, Eloqua, S3)
Adequate understanding of creating data processing pipelines / ETLs using PySpark/
Data Bricks
Prior experience of using Synapse / SQL DWH to present data securely and to build &
manage data models

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Azure DatabricksData LakesAzure Data FactoryApache SparkOracle CRMData ModelingCloud ComputingMicrosoft SQL Server Data Engine (MSDE)MySQLApplication Programming Interface (API)Data Warehouse ArchitecturesETL (Extract Transform Load)Oracle Business Intelligence (BI) / OBIADevOps
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