Data Engineer Manager

Job Description Summary

We are seeking an experienced and innovative Data Engineer Manager with expertise in packaged goods products to lead our data engineering team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support the collection, processing, and analysis of large datasets related to packaged goods products. The ideal candidate will have a strong background in data engineering, cloud technologies, and database management, with a deep understanding of the complexities and challenges specific to the packaged goods industry.

Job Description

Key Responsibilities

Lead in the design, development, and optimization of data pipelines, ETL processes, and data warehousing solutions to support the analysis and reporting of packaged goods products data.Collaborate with cross-functional teams, including data analysts, and business stakeholders, to understand data requirements and implement scalable solutions that meet business needs.Architect and implement cloud-based data platforms and infrastructure using technologies such as AWS, Azure, or Google Cloud Platform, ensuring scalability, reliability, and security.Design and implement data models, schemas, and database structures optimized for efficient data storage, retrieval, and processing in support of analytical use cases.Develop and implement data governance policies, data quality standards, and best practices to ensure data integrity, accuracy, and compliance with regulatory requirements.Evaluate and implement new technologies, tools, and frameworks to enhance data engineering capabilities and drive innovation in data processing and analytics.Establish and maintain data engineering standards, documentation, and best practices to support knowledge sharing and collaboration within the team and across the organization.Provide technical leadership, mentorship, and coaching to team members, fostering a culture of continuous learning and professional growth.Collaborate with external vendors, partners, and industry experts to leverage data engineering best practices and stay abreast of emerging trends and technologies in the packaged goods industry.Drive a culture of operational excellence, performance optimization, and continuous improvement in data engineering processes and practices.

Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.Proven 3+ years experience in data engineering, database management, and cloud computing, with a focus on packaged goods products or related industries.Strong proficiency in programming languages such as Python, SQL, or Scala, as well as experience with data processing frameworks such as Apache Spark or Hadoop.Expertise in cloud technologies and services, including AWS, Azure, or Google Cloud Platform, with hands-on experience in building and managing data pipelines and infrastructure.Solid understanding of data modeling, database design, and data warehousing concepts, with experience working with relational databases, NoSQL databases, and data lakes.Strong problem-solving, analytical, and troubleshooting skills, with the ability to diagnose and resolve complex data engineering challenges.Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.Proven leadership experience, with the ability to motivate, inspire, and mentor a team of data engineers to achieve excellence and drive results.Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.Passion for continuous learning and staying at the forefront of data engineering best practices and technologies in the packaged goods industry.

We offer a competitive benefits package!

(*Eligibility may vary.)

401(k) Savings PlanPremium Medical Insurance CoverageYear-end Bonus PlanPaid Time Off (PTO) based on seniorityPaid HolidaysOnsite Employee Fitness Center with Indoor Racquetball Court and Yoga RoomSummer FridayComplimentary Gourmet Breakfast, Lunch, and DinnerRelocation Support for New Hires*Work Anniversary RecognitionsCongratulatory & Condolence GiftsEmployee Referral Bonus ProgramLicense/Certification Reimbursements*Corporate Employee DiscountsVisa Sponsorships (100% paid by the company) i.e., New H-1B, H-1B Transfer, O-1, and Green CardCommuter Support (Shuttle Bus Program)*Vehicle Perks*

The anticipated compensation range is

69,000.00 - 137,000.00 USD Annual

Actual compensation will be determined based on various factors including qualifications, education, experience, and location. The pay range is subject to change at any time dependent on a variety of internal and external factors.

Kiss Nail Products, Inc., or Kiss Distribution Corporation or Ivy Enterprises, Inc., or AST Systems, LLC, or Red Beauty, Inc., Dae Do, Inc. (collectively, the “Company”) is an equal opportunity employer and is committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law.