Data Engineer

Job Description

Your Job The Data Engineer will be a part of an international team that designs, develops and delivers new applications 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 (KGS) is being developed in India to as a Shared Service Operations, as well as act as a hub for innovation across functions. As KGS rapidly scales up its operations in India, its 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 (KGS) over the next several years. Working closely with global colleagues would provide significant international exposure to the employees Our Team We are seeking a Data Engineer expert to join KGS Analytics capability. We love passionate, forward-thinking individuals who are driven to innovate. You will have the opportunity to engage with Business Analysts, Analytics Consultants, and internal customers to implement ideas, optimize existing dashboards, and create Visualization products using powerful, contemporary tools. This opportunity engages diverse types of business applications and data sets at a rapid pace, and our ideal candidate gets excited when they are faced with a challenge . What You Will Do If a candidate is entrepreneurial in the way they approach ideas, Koch is among the most fulfilling organizations they could join. We are growing an analytics capability and looking for entrepreneurial minded innovators who can help us further develop this service of exceptionally high value to our business. Due to the diversity of companies and work within Koch, we are frequently working in new and interesting global business spaces, with data and analytics applications that are unique relative to opportunities from other employers in the marketplace . W ho You Are (Basic Qualifications) Work with business partners to understand key business drivers and use that knowledge to experiment and transform Business Intelligence & Advanced Analytics solutions to capture the value of potential business opportunities Translate a business process/problem into a conceptual and logical data model and proposed technical implementation plan Assist in developing and implementing consistent processes for data modeling, mining, and production Focus on implementing development processes and tools that allow for the collection of metadata, access to metadata, and completed in a way that allows for widespread code reuse (e.g., utilization of ETL Frameworks, Generic Metadata driven Tools, shared data dimensions, etc.) that will enable impact analysis as well as source to target tracking and reporting. Improve data pipeline reliability, scalability, and security What You Will Need to Bring with You: (experience & education required) 5+ years of industry professional experience or a bachelors degree in MIS, CS, or an industry equivalent. At least 4 years of Data Engineering experience (preferably AWS) with strong knowledge in SQL, developing, deploying, and modelling DWH and data pipelines on AWS cloud or similar other cloud environments. 3+ years of experience with business and technical requirements analysis, elicitation, data modeling, verification, and methodology development with a good hold of communicating complex technical ideas to technical and non-technical team members Demonstrated experience with Snowflake and AWS Lambda with python development for provisioning and troubleshooting. Demonstrated experience using git-based source control management platforms (Gitlab, GitHub, DevOps, etc.). What Will Put You Ahead 3+ years experience in the Amazon Web Services stack experience including S3, Athena, Redshift, Glue, or Lambda 3+ years experience with cloud data warehousing solutions including Snowflake with developing in and implementation of dimensional modeling 2+ years experience with data visualization and statistical tools like PowerBI, Python, etc. Experience with Git and CICD pipelines. Development experience with docker and a Kubernetes environment (would be a plus).