Harman International | Hiring | Data Engineer | BigDataKB.com | 1/11/2022

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Harman International

Bangalore

Consumer Products Manufacturing

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.

Job Description: Data Engineer


Education & Training

Bachelor’s degree in Computer Science/Electronics & Communication/Electrical Engineering or in a relevant stream.


Role Summary

Role is a hands-on, highly technical role, accountable for working with MBRDI for data engineer and work on Azure data factory, data bricks, data Lake Gen2 for AIOps. In this role, the candidate will own and work as data analyst as well as the data engineer as the technical engagement; working directly with the team and business unit to envision, architect, set up the ETL solution and enhance the setup in azur cloud based solutions with DevOps mindset. Main responsibility is to setup the MLOps pipeline.


Skills

  • Experience with Azure Data Bricks or Data Factory
  • Experience with Azure Data components such as Azure SQL Database, Azure SQL Warehouse, SYNAPSE Analytics
  • Experience with the Azure storage technologies (Azure Data Lake, Azure SQL Data Warehouse, Azure SQL Database)
  • Experience in Python/ Pyspark/ Scala.
  • Ability to read data from sources using APIs/Web Services.
  • Experience with building CI/CD pipelines in Data environments
  • Analyze the source and target system data. Map the transformation that meets the requirements
  • Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
  • Implementing ETL process


Job Responsibilities

  • Design ingestion pipelines using ADF including Integration runtimes, triggers, activities, etc.
  • Ingest data from various sources to datalake using Azure Data Factory.
  • Perform transformations using Databricks Spark.
  • Constantly learn and work on new technologies
  • Experience with designing triggers, activities and integrating various runtimes like Azure, Self-hosted, SSIS, etc
  • Experience in writing and optimizing Spark code.
  • Have experience in working with Agile Framework
  • Good to have knowledge on streaming data ingestion and transformation using Kafka/Azure Stream analytics.
  • Experience in working on data engineering/ETL tools like Azure Data Factory (ADF) or SSIS.
  • Should have worked with Azure Function and Python to perform serverless code execution.
  • Project hands-on experience implementing data migration and data processing using Azure services: Azure table,ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, Azure Stream Analytics, Databricks
  • Experience in working with different source/target systems like Oracle Database, SQL Server Database, Blob Storage, and Azure Data Lake Storage using Azure Data Factory.
  • Experience on working with different Azure services for storage and data transfer.
  • Should have working experience on Data Pipeline and Data flow within ADF.
  • Experience in handling large data sets using ADF or Python code.
  • Ability to read data from sources using APIs/Web Services.
  • Having worked with API to write data to target systems.
  • Working experience on performing transformation on data required during an ETL process

HARMAN is an Equal Opportunity /Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or Protected Veterans status. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. (www.harman.com)

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