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Data Engineer- Remote at DeepSource Technologies
Dubai, Dubai, United Arab Emirates -
Full Time

Start Date

Immediate

Expiry Date

22 Aug, 26

Salary

0.0

Posted On

24 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Pandas, Pyspark, Databricks, Azure Synapse Spark, Azure Data Factory, SQL, SQL Optimization, SQL Server Migration, Terraform

Industry

IT Services and IT Consulting

Description
As a Data Engineer He/She will be responsible for designing, building, and maintaining the data architecture and infrastructure required for our organization's data needs. will also be responsible for developing, testing, and deploying data solutions, ensuring that they meet our organization's needs. Python data experience: You should have experience working with Python and be comfortable using it for data analysis and processing. Pandas: You should be proficient in using the Pandas library for data manipulation and analysis. Pyspark: You should have experience working with Pyspark for distributed data processing. Databricks: You should be familiar with Databricks and have experience working with it to manage big data workloads. Azure Synapse Spark: You should have experience working with Azure Synapse Spark to build and manage data pipelines. Azure Data Factory: You should have experience working with Azure Data Factory to create and manage data integration workflows. SQL query & Optimization: You should be proficient in SQL and have experience optimizing SQL queries for performance. SQL Server migration: You should have experience migrating data from SQL Server to other platforms. Bonus: Experience with Terraform for Azure. L1: Someone with the knowledge assessed in the Databricks certification: Databricks Certified Data Engineering Associate L2: Someone with the knowledge assessed in the Databricks certification: Databricks Certified Data Engineering Professional
Responsibilities
The Data Engineer is responsible for designing, building, and maintaining the organization's data architecture and infrastructure. They will develop, test, and deploy data solutions to meet organizational needs.