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Data Engineer Azure Data Factory
Digital Technology solution
Data Engineer Azure Data Factory
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Data Engineer Azure Data Factory

at Digital Technology solution

Agency job
5 - 7 yrs
₹12L - ₹17L / yr
Bengaluru (Bangalore)
Skills
Data Engineer
Hadoop
Spark
Kafka
Big Data
Data engineering
Data Factory
Azure
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Author data services using a variety of programming languages
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Work in an Agile environment with Scrum teams.
  • Ensure data quality and help in achieving data governance.

 

Basic Qualifications

 

  • 2+ years of experience in a Data Engineer role
  • Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
  • Experience using the following software/tools:
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases
    • Experience with data pipeline and workflow management tools
    • Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
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Shubham Vishwakarma

Full Stack Developer - Averlon
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