Sr Data Analytics Engineer

At Kenco Logistics youre more than just a team memberyoure part of a company that values innovation integrity and a strong commitment to its people. As one of the leading 3PL providers in the U.S. Kenco offers a dynamic and supportive work environment where your ideas matter and your growth is a priority. With a focus on safety sustainability and continuous improvement Kenco empowers employees to make a real impact in the supply chain industry while building rewarding careers. Join a company where your contributions help move the world forwardone shipment at a time.

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Sr. Data Engineer wanted by Kenco Management Services LLC in Chattanooga TN to develop and support next generation architecture for the advanced supply chain analytics offering covering both Data Engineering and Business Intelligence (BI). Partner with key distribution transportation and material handling business managers to recommend design and implement efficient and scalable Extract Transform Load (ETL) solutions as the technical subject matter expert. Advise and lead in the development and improvement of the current ETL/BI architecture emphasizing data security data quality and timeliness scalability and extensibility. Design low latency data architectures at scale to enable data driven decision-making. Deliver performant and scalable data products and platforms both Online Transactional Processing (OLTP) and Online Analytical Processing (OLAP) to consume process analyze and present data from the data ecosystem while driving data engineering best practices. Ensure the integrity and uninterrupted processing of batch and real-time data pipelines to ingest and process data from various internal data sources and third-party platforms. Provide technical guidance and/or mentoring to other data engineers. Work closely with Data Science and Business Intelligence team to develop and maintain company-level Key Performance Indicators (KPIs) accompanying core metrics and develop architecture to drive business growth. Remote work available from anywhere in the U.S. POSITION REQUIREMENTS: Bachelors degree or foreign equivalent in Computer Science Data Science or related field and 60 months of experience as data engineer or related data science occupation. Work experience must include: 1) working with large datasets in collaboration with data analysts software and infrastructure engineers; 2) writing/optimizing complex SQL and schema buildout with structured and unstructured data (i.e. star schemas constellations and snowflake schemas); 3) use of Python; 4) work with Big Data technologies (e.g. Spark Kafka Hadoop etc.); 5) designing data solutions utilizing AWS cloud data platforms and tools. Travel to domestic customer sites up to 25%. Telecommuting permitted from anywhere in the US. Send resume to

Benefits offered:

• Medical insurance including HSA HRA and FSA accounts

• Supplemental insurance including critical illness hospital indemnity accidental injury

• Dental Insurance

• Vision Insurance

• Basic Life and Supplemental Life

• Short Term and Long Term Disability

• Paid Parental Leave

• 401(k)

• Paid Time Off approximately 2 weeks (accrual begins on Day 1 of employment)

• Employer Paid Holidays- 10 days

Kenco strives to provide a supportive professional environment for all employees. As a part of Kenco we expect our team to uphold our three key pillars: be honest serve and get better. Each should strive for operational excellence pursue innovation and want to grow with our company.

Kenco Group is an Equal-Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age race color religion sex sexual orientation gender identity national origin protected veteran status or disability or any other characteristic protected by law.

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the contractors legal duty to furnish information. 41 CFR 60-1.35(c)

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Experience:

Senior IC