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Data Engineer
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Data Engineer

Eman Khan's profile picture
Posted by Eman Khan
3 - 10 yrs
₹12L - ₹35L / yr
Bengaluru (Bangalore), Hyderabad, Pune
Skills
PySpark
skill iconAmazon Web Services (AWS)
skill iconPython
SQL
AWS Lambda
Glue
Amazon S3
Amazon Redshift
databricks

About the Role:

We are looking for a talented and motivated Data Engineer with expertise in AWS, Python, PySpark, and Databricks to join our growing team. The ideal candidate will have experience in building and managing data pipelines, processing large datasets, and leveraging cloud-based tools for data analytics and transformation.


Required Skills & Qualifications:

  • Strong experience with AWS services (S3, Lambda, Redshift).
  • Strong experience in SQL
  • Proficiency in Python and PySpark for data processing.
  • Hands-on experience with Databricks for large-scale data processing.
  • Experience with building and managing data pipelines.
  • Strong problem-solving skills and attention to detail.


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Shubham Vishwakarma

Full Stack Developer - Averlon
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About KPI Partners

Founded :
2006
Type :
Products & Services
Size
Stage

About

- KPI Partner is a global consulting firm that specializes in strategy, technology, and digital transformation. The company works with corporate technology departments and business units to develop value-added solutions, not just new technology deployments. KPI Partner has been recognized three times by Gartner as one of the top AI, Data Analytics, and Service Providers in the world. KPI Partner is a global consulting firm that provides strategy, technology, and digital transformation solutions to corporate technology departments and business units. The company has been recognized three times by Gartner as one of the top AI, Data Analytics, and Service Providers in the world. KPI Partner works with its clients to develop value-added solutions that go beyond just new technology deployments. The company operates in various industries and product areas, helping its clients solve their problems and achieve their goals.
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