Koch Global Services (KGS) Is Hiring Data Engineer

koch global services (KGS) is hiring data engineer and every tech graduate can apply for this job role

Job Role 

The Data Engineer will report to the Data Engineering & BI Lead of the KGSI and will be responsible to develop and implement a future-state data analytics platform for both the back-end data processing and the front-end data visualization component for the Finance Data Delivery teams. The will be a hands on role to build ingestion pipelines and the data warehouse.

Our Team

The Data Engineer will be a part of an global team that designs, develops, and delivers BI and Analytics solutions leveraging the latest BI and Analytics technologies for Koch Industries. Koch Industries is a privately held global organization with over 120,000 employees around the world, with subsidiaries involved in manufacturing, trading, and investments. Koch global services India (KGSI) is being developed in India to extend its IT operations,

As well as act as a hub for innovation in the IT function. As KGSI rapidly scales up its operations in India, it’s employees will get opportunities to carve out a career path for themselves within the organization. This role will have the opportunity to join on the ground floor and will play a critical part in helping build out the Koch global services India (KGSI) over the next several years. Working closely with global colleagues would provide significant global exposure to the employees. This role is a part of the Georgia Pacific team within the KGSI.

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Koch Global Services (KGS) Is Hiring Data Engineer

Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.

Responsibility 

• Be part of the  data team  to design and build a BI and analytics solution
• Implement batch and near real time data movement design patterns and define best practices in data engineering.
• Design and develop optimal cloud data solutions (lakes, warehouses, marts, analytics) by collaborating with diverse IT teams including business analysts, project managers, architects, and developers.
• Work closely with a team of data engineers and data analysts to procure, blend and analyze data for quality and distribution; ensuring key elements are harmonized and modeled for effective analytics, while operating in a fluid, rapidly changing data environment
• 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 to external IT partners as well as internal data team members
• Work with cross-functional teams, on-shore/off-shore, development/QA teams/Vendors in a matrixed environment for data delivery
• Backtracking, troubleshooting failures and provide fix as needed
• Update and maintain key data cloud solution deliverables and diagrams
• Ensure conformance and compliance using Georgia-Pacific data architecture guidelines and enterprise data strategic vision.

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Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or related IT area.
• Secondary Skill set: Working with APIs, Spark, GIT/CICD, SQL,SPARK,STEP FUNCTIONS
• At least 2+ of hands-on experience in designing, implementing, managing large-scale and ETL solutions.
• At least 3 years of hands-on experience in business intelligence, data modelling, data engineering, ETL, multi-dimensional data warehouses, cubes, with expertise in relevant languages and frameworks like SQL, Python etc.
• Hands on experience with designing and fine-tuning queries in Redshift
• Strong knowledge of Data Engineering, Data Warehousing, OLAP and database concepts
• Understanding of common DevSecOps/DataOps and CICD processes, methodologies, and technologies like GitLab, Terraform etc
• Be able to analyze large complex data sets to resolve data quality issues.

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)

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Preferred 

• AWS certifications like Solution Architect (SAA/SAP) or Data Analytics Specialty (DAS)
• 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.
• Experience with OLAP technologies and Data Virtualization (using Denodo)

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Apply Here : Koch Global Services (KGS) Is Hiring Data Engineer