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Data Engineer - Azure
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Data Engineer - Azure

Vijitha VS's profile picture
Posted by Vijitha VS
2 - 5 yrs
₹10L - ₹30L / yr
Remote only
Skills
SQL Azure
DevOps
skill iconPython
Spark
PySpark
SQL
Big Data
ETL
skill iconScala
Microsoft Windows Azure
Data Warehouse (DWH)
Informatica
skill iconKubernetes
skill iconDocker
SQL server
ADF
Data cleansing

Technologies & Languages

  • Azure
    • Databricks
    • SQL Sever
    • ADF
  • Snowflake
    • Data Cleaning
    • ETL
  • Azure Devops
  • Intermediate Python/Pyspark
  • Intermediate SQL
  • Beginners' knowledge/willingness to learn Spotfire
  • Data Ingestion
  • Familiarity with CI/CD or Agile

Must have:

  • Azure – VM, Data Lake, Data Bricks, Data Factory, Azure DevOps
  • Python/Spark (PySpark) 
  • SQL

Good to have:

  • Docker
  • Kubernetes
  • Scala

He/she should have a good understanding in:

  • How to build pipelines – ETL and Injection
  • Data Warehousing
  • Monitoring

Responsibilities:

Must be able to write quality code and build secure, highly available systems.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc with the guidance.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Monitoring performance and advising any necessary infrastructure changes.

Defining data retention policies.

Implementing the ETL process and optimal data pipeline architecture

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Create design documents that describe the functionality, capacity, architecture, and process.

Develop, test, and implement data solutions based on finalized design documents.

Work with data and analytics experts to strive for greater functionality in our data systems.

Proactively identify potential production issues and recommend and implement solutions

Read more
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About Ganit Business Solutions

Founded :
2017
Type :
Products & Services
Size :
100-1000
Stage :
Bootstrapped

About

Ganit Inc. is in the business of enhancing the Decision Making Power (DMP) of businesses by offering solutions that lie at the crossroads of discovery-based artificial intelligence, hypothesis-based analytics, and the Internet of Things (IoT).


The company's offerings consist of a functioning product suite and a bespoke service offering as its solutions. The goal is to integrate these solutions into the core of their client's decision-making processes as seamlessly as possible. Customers in the FMCG/CPG, Retail, Logistics, Hospitality, Media, Insurance, and Banking sectors are served by Ganit's offices in both India and the United States. The company views data as a strategic resource that may assist other businesses in achieving growth in both their top and bottom lines of business. We build and implement AI and ML solutions that are purpose-built for certain sectors to increase decision velocity and decrease decision risk.

Read more

Connect with the team

Profile picture
Viswanath Subramanian
Profile picture
Priyanka Beria
Profile picture
Kavitha J

Company social profiles

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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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