Big Data Engineer/ Spark Developer

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Bachelor's degree or equivalent in a relevant field., 4+ years of experience in Big Data technologies, specifically Hadoop and Spark., Strong proficiency in PySpark and Azure PaaS services., Experience with data analysis using R or Python..

Key responsibilities:

  • Develop and manage scalable applications for data extraction, transformation, and loading.
  • Perform data cleaning, integration, validation, and analysis.
  • Build real-time monitoring dashboards and support ad hoc reporting needs.
  • Utilize statistical techniques to quantify KPIs and derive insights from data.

KEPIO ENGINEERING SERVICES PVT LTD logo
KEPIO ENGINEERING SERVICES PVT LTD
2 - 10 Employees
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Job description

Role – Big Data Engineer/ Spark Developer
Job Description –
Must Have – Big Data Hadoop, Hive, PySpark,
Strong experience in Spark
Practitioner in Azure Paas Services like
Utilize statistical and analytical techniques to quantify KPI and metrics using systems of data
Understand complex data system by working closely wit
Perform data cleaning, integration, validation and analysis using R or Python
Derive data insights from KPI and metric
Build and manage data feeds and realDevelop scalable and maintainable applications to extract, transform, and load data in various formats to
SQL Server, Hadoop Data Lake or other data storage locations
Build real time monitoring dashboards using various business in
etc)
Support ad hoc automation, data extraction, and reporting needs as required”
Location – Anywhere In India.
Salary – As per Company Standards.
Qualification – Bachelor’s degree or equivalent
Work Experience – 4+ Years
Shift Timings – Regular Shift 3.30 PM
Joining – Immediate
Website –

Job Category: Developer
Job Type: Full Time
Job Location: India

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

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