Data Engineer - Senior Engineer(Level 1)

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 4 days ago
5-10 years
Pune, Blue Ridge-Hinjewadi, India
work from office

Posted: 4 days ago
|
Applicants: 149+
Job Description
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Job Description

Position:

Data Engineer - Senior Engineer(Level 1)

:

JD For Data Engineer
Experience: 5 Years
Tools: Azure Data Factory, Azure Databricks, Azure SQL Database, SQL, Python (PySpark), Microsoft Power BI
Mandatory Skills:
•
Should be well-versed in the design and development of ETL solutions using Azure Data Factory, Azure Databricks, Python (PySpark), and SQL for large-scale data warehouses.
•
Should be able to work collaboratively with other team members, as well as users for operational support
•
Expertise in Azure Data Factory, Azure Databricks, Python (PySpark), Azure SQL Database, SQL Stored Procedure development, and performance tuning.
•
Should possess very good communication with strong business and data analysis skills
•
Experience in using Agile methodologies
•
Experience in developing and working on Power BI reports for enterprise level reports.
Key Responsibilities:
•
Develop, fine-tune, automate, and maintain ETL pipelines using Azure Data Factory, Azure Databricks, Python (PySpark), Azure SQL Database, and SQL Server Stored Procedures.
•
Develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse
•
Document ETL data mappings, data dictionaries, processes, programs, and solutions as per established standards for data governance
•
Integrate ETL development with existing projects to maximize object reuse
•
Create, execute, and document unit test plans for ETL and data integration processes and programs
•
Work with the peers in data team to assess and troubleshoot potential data quality issues at key intake points such as validating control totals at intake.
•
Troubleshoot data issues and defects to determine root cause

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•
Performance tuning of the ETL process and SQL queries, and recommend and implement ETL and query tuning techniques
•
Develop and create transformation queries, views, and stored procedures for ETL processes, and process automations

Location:

IN-MH-Pune, India-Blue Ridge-Hinjewadi (eInfochips)

Time Type:

Full time

Job Category:

Engineering Services

Skills

PythonSQLData AnalysisPower BIPySparkDatabricksETLSQL ServerAzureAgileCommunication

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About Company

Arrow Electronics guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2023 sales of $33 billion, Arrow develops technology solutions that improve business and daily life.

Important dates & deadlines?

Application Deadline

27 Nov 26, 12:55 PM IST

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Data Engineer - Senior Engineer(Level 1)

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