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Data Engineer - Senior Engineer(Level 1)

Arrow Electronics
Posted this week

LOCATION

Pune · Onsite

EXPERIENCE

5+ Years

TYPE

FullTime

SALARY

Negotiable

SKILLS REQUIRED

Data EngineeringSQLData PipelinesETL PipelinesUnit TestingAzure DatabricksAzure Data Factory

Job description

Overview

Develop, optimize, automate, and maintain enterprise-scale ETL and data integration solutions using Azure data services, Python (PySpark), SQL, and Power BI.

What you'll do

  • 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 applications and the Enterprise Data Warehouse.
  • Document ETL data mappings, data dictionaries, processes, programs, and solutions according to established data governance standards.
  • 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 peers in the 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.
  • Perform performance tuning of ETL processes 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.
  • Work collaboratively with other team members and users for operational support.

What you'll need

  • 5 years of experience.
  • 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.
  • Expertise in Azure Data Factory, Azure Databricks, Python (PySpark), Azure SQL Database, SQL Stored Procedure development, and performance tuning.
  • Very good communication with strong business and data analysis skills.
  • Experience using Agile methodologies.
  • Experience developing and working on Power BI reports for enterprise-level reports.

Details

  • Location: Pune, Blue Ridge-Hinjewadi, India.
  • Employment type: Full time.
  • Job category: Engineering Services.

Read the full description and apply on the company’s own careers page.

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Data Engineer - Senior Engineer(Level 1)