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Data Engineer

Your JobAs a Data Engineer at INVISTA, you will be a vital contributor to our Enterprise Data Platform, responsible for designing and implementing data pipelines, optimizing data workflows, and ensuring data reliability and accessibility. Your work will be instrumental in empowering our organization to make data-driven decisions and fueling innovation across the company.Our TeamJoining our Data and Analytics team means becoming a key player in a dynamic and innovative group of professionals dedicated to unlocking the power of data. Here, you'll find a diverse and collaborative environment where your ideas and expertise will shape the future of our data-driven organization. We pride ourselves on fostering a culture of continuous learning, creativity, and teamwork, and we're looking for individuals who are eager to contribute their skills and passion to our shared mission.What You Will Do• Collaborate closely with business partners and data scientists to align data engineering efforts with their specific needs and objectives, ensuring that data solutions contribute effectively to the organization's overall goals• Develop, maintain, and optimize orchestration and data pipelines using tools such as Snowflake, DBT, GitHub, AWS, Power BI, Neo4j(GraphDB)• Design and implement data modeling and ETL/ELT processes to ensure data quality, consistency, availability and data centricity• Monitor and troubleshoot data pipelines, resolving issues to ensure uninterrupted data flow• Optimize and fine-tune data pipelines for performance and efficiency• Manage and maintain data warehouses and ensure data security and compliance with company policies and relevant regulations• Perform data transformations, aggregations, and data cleansing to support analytics and reporting needs• Implement data integration strategies for streaming, event driven and batch data sources• Automate and orchestrate data workflows to improve efficiency and reduce manual intervention• Document data engineering processes, pipelines, and architecture for knowledge sharing and compliance• Stay up-to-date with industry best practices, emerging technologies, and trends in data engineeringWho You Are (Basic Qualifications)• Bachelor's degree in Computer Science, Information Technology, or a related field• Proficient in designing software and data solutions that scale• Proficient in SQL, data profiling, and data modeling• Experience with Snowflake data warehouse technology• Strong programming skills in Python• Proficient in Power BI, strong in DAX and analytics report building• Hands-on experience with AWS cloud computing platform• This role is not eligible for visa sponsorshipWhat Will Put You Ahead• Certification in data engineering or related AWS certifications• SAP Financial domain knowledge - Financial accounting and controlling modules• Understand data orchestration, integration concepts, and workflow management tools (e.g., Step Function)• Experience with DevOps practices and tools, such as continuous integration (CI) and continuous deployment (CD) pipelines, version control systems (e.g., Git)• Experience in using Agile project management and collaboration tools (e.g., Jira, Confluence) to track progress and manage work in an Agile environment• Knowledge of data governance and compliance best practicesAt Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.Hiring PhilosophyAll Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .Who We AreAs a Koch company, INVISTA has a long history of working to make the world around you a better place. From parts for the automotive industry to medical equipment, air bags, food packaging and clothing, our ingredients in the nylon 6,6 and polypropylene value chains help bring many of life's essential products to market.At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.Our BenefitsOur goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.Equal OpportunitiesEqual Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information.#LI-MB7

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What You Should Know About Data Engineer, INVISTA

As a Data Engineer at INVISTA in Wichita, KS, you will play a pivotal role in shaping the future of our Enterprise Data Platform. This position invites you to dive into the exciting world of data as you design and implement robust data pipelines, optimally manage workflows, and ensure the reliability and accessibility of our data systems. Your contributions will enable the organization to make informed, data-driven decisions while fostering innovation across the board. Joining our Data and Analytics team means becoming a critical member of a diverse and collaborative group of forward-thinkers dedicated to harnessing the power of data. We ensure that your ideas and skills will not only be valued but will also directly impact our mission in this dynamic environment. You'll have a chance to engage closely with business partners and data scientists, tailoring our engineering efforts to meet specific objectives that align with organizational goals. With opportunities to work on cutting-edge technologies like Snowflake, AWS, and Power BI, you’ll not only develop and optimize data solutions but also continuously learn and grow in your expertise. At INVISTA, we empower you to do your best work while contributing to significant improvements that enhance our capabilities and overall business outcomes.

Frequently Asked Questions (FAQs) for Data Engineer Role at INVISTA
What responsibilities does a Data Engineer at INVISTA have?

As a Data Engineer at INVISTA, your primary responsibilities include designing and implementing data pipelines, optimizing data workflows, and ensuring data reliability and accessibility. You'll collaborate with business partners to align data solutions with their needs, develop and maintain orchestration processes, monitor data pipelines, and manage data warehouses, all aimed at supporting analytics and reporting requirements.

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What qualifications are needed to become a Data Engineer at INVISTA?

To qualify for the Data Engineer position at INVISTA, you should hold a Bachelor's degree in Computer Science, Information Technology, or a related field. Proficiency in SQL, Python, and experience with Snowflake data warehousing technology are essential. Strong skills in Power BI, along with familiarity with AWS cloud services, will put you ahead in this role.

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What technologies will I work with as a Data Engineer at INVISTA?

In the role of a Data Engineer at INVISTA, you will work with a range of technologies including Snowflake for data warehousing, AWS for cloud computing, and Power BI for data visualization. You'll be responsible for developing and optimizing data pipelines using these tools to ensure data is processed efficiently and accurately.

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How does INVISTA support career growth for Data Engineers?

INVISTA values continuous learning and offers various resources to support career growth for Data Engineers. You'll be encouraged to stay updated with industry best practices, emerging technologies, and trends. Opportunities for certification in data engineering and AWS-related credentials are also available to further enhance your expertise.

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What does the work environment look like for a Data Engineer at INVISTA?

The work environment for a Data Engineer at INVISTA is dynamic and innovative. You will be part of a collaborative team where diverse thoughts and perspectives are encouraged. The company fosters a culture of creativity, teamwork, and professional development, making it a great place to contribute and grow.

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Common Interview Questions for Data Engineer
Can you describe your experience with data pipeline orchestration?

In your response, highlight specific tools you have used such as Snowflake or DBT, explaining how you designed and maintained these pipelines to ensure efficient data flow and integrity.

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How do you approach data modeling and ETL processes?

Describe the methodologies you apply for data modeling and the steps involved in ETL processes. Be prepared to provide examples of workflows you handled, showcasing your ability to ensure data quality and availability.

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What strategies do you use for data transformation and cleansing?

Discuss the tools and techniques you utilize for data transformation. Provide examples where you've streamlined data cleansing processes, and emphasize the significance of maintaining clean and accurate data.

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How do you monitor and troubleshoot data pipelines?

Explain the monitoring methods you use to ensure the performance of data pipelines, such as automated alerts or logs. Share examples of challenges faced and how you resolved them to maintain uninterrupted data flow.

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What’s your experience with cloud computing platforms like AWS?

Talk about your hands-on experience with AWS, the services you've utilized, and how these tools have enhanced data processing and storage solutions in your previous projects.

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Can you provide an example of how you collaborated with data scientists on a project?

Illustrate a specific project where you worked closely with data scientists. Discuss how you aligned your data engineering efforts with their analytical needs and the overall impact on the project’s success.

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What role does documentation play in your data engineering processes?

Emphasize the importance of documenting data engineering processes to ensure compliance and knowledge sharing. Share your approach to maintaining thorough documentation practices.

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How do you stay current with developments in data engineering?

Speak about your strategies for continuous learning, whether it be through online courses, industry publications, or attending workshops—demonstrating your commitment to staying up-to-date with technology trends.

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What experience do you have with Agile project management tools?

Highlight your familiarity with Agile methodologies and using tools like Jira or Confluence to track progress, manage work, and collaborate effectively within a team.

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How do you ensure data security and compliance in your work?

Discuss the measures you take to ensure data security, including your understanding of relevant regulations, as well as any specific frameworks or best practices you follow for data governance.

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INVISTA is a global company creating value for our customers and shareholders across a portfolio of advantaged intermediate chemical technologies, high performance polymers, and differentiated fiber and other downstream products. Our success is de...

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Full-time, on-site
DATE POSTED
December 20, 2024

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