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A Chemical & Purifier Company headquartered in the US. logo
Azure Data Engineer
A Chemical & Purifier Company headquartered in the US.
Azure Data Engineer
A Chemical & Purifier Company headquartered in the US.'s logo

Azure Data Engineer

at A Chemical & Purifier Company headquartered in the US.

Agency job
4 - 9 yrs
₹15L - ₹18L / yr
Bengaluru (Bangalore)
Skills
Azure data factory
Azure Data factory
Azure Data Engineer
SQL
SQL Azure
ADF
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 centres 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.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Experience supporting and working with cross-functional teams in a dynamic environment
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma

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