Cloud Data Engineer

1 month ago


Bengaluru, Karnataka, India Koch Global Services Full time

Koch Global Services is a dynamic and rapidly scaling organization with a vision to deliver cutting-edge data engineering solutions. We are seeking a highly skilled Cloud Data Engineer to join our team in India.

About Koch Global Services

Koch Industries is a privately held global organization with over 120,000 employees worldwide, encompassing manufacturing, trading, and investments. Our Koch Technology Center (KTC) in India serves as a hub for innovation in the IT function, providing opportunities for employees to carve out a career path within the organization.

Job Summary

The successful candidate will be responsible for designing and implementing a future-state data analytics platform for back-end data processing and front-end data visualization. This will involve collaborating with diverse IT teams, including business analysts, project managers, architects, and developers, to design and develop optimal cloud data solutions.

Key Responsibilities

  • Design and implement batch and near real-time data movement design patterns and define best practices in data engineering.
  • Collaborate with data architects, data engineers, BI developers, and data analysts to procure, blend, and analyze data for quality and distribution.
  • Build data pipelines from a wide variety of sources.
  • Demonstrate strong conceptual, analytical, and problem-solving skills and ability to articulate ideas and technical solutions effectively.
  • Work closely with cross-functional teams, on-shore/off-shore, development/QA teams/Vendors in a matrixed environment for data delivery.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related IT area with at least 10+ years of experience in software development.
  • Primary skill set: Data Engineering, Python (especially strong in Object Oriented Programming concepts), AWS (Glue, Lambda, EventBridge, Step functions, and serverless architecture), Columnar DB (Redshift or Snowflake).
  • Secondary skill set: Working with APIs, Spark, GIT/CICD, SQL, SPARK, STEP FUNCTIONS.

Preferred Qualifications

  • AWS certifications like Solution Architect (SAA/SAP) or Data Engineering Associate (DEA).
  • Hands-on experience with AWS data technologies and at least one full life cycle project experience in building a data solution in AWS.
  • Exposure to visualization tools, such as Tableau or PowerBI.
  • Exposure with OLAP technologies and Data Virtualization (using Denodo).

Salary Range: ₹2,500,000 - ₹3,500,000 per annum based on experience.



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