Sr Analyst, Data Engineer

Scotts Miracle-Gro

Marysville (OH)

Sur place

USD 116 000 - 136 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Live Total Health program
401K match up to 7.5%
Stock discount 15%
Adoption assistance up to $30,000
Employee Resource Groups

Résumé du poste

Scotts Miracle-Gro in Marysville, OH is seeking a Senior Data Engineer to build and optimize data pipelines, ensure data quality, and support analytics initiatives. You will collaborate with data scientists and BI teams, implement ETL/ELT processes, and automate workflows using Databricks, Python, Spark SQL and Airflow.

The role requires 6+ years in data engineering and a strong communication style to translate requirements into technical solutions.

Qualifications

  • Bachelor's degree in CS/Engineering/Math or related field.
  • Required: Databricks, Python, Spark SQL, Airflow.
  • Desired: AWS Certified Data Engineer.
  • 4–7 years of experience preferred.
  • 6+ years of experience in Data Engineering.
  • Strong communication skills to convey information clearly.

Responsabilités

  • Perform ETL/ELT data processing and transformations.
  • Design and implement complex data transformation logic.
  • Ensure accuracy and reliability of data processing tasks.
  • Implement and execute data quality checks and standards.
  • Collaborate with stakeholders to enforce data quality.
  • Manage and optimize databases for storage and retrieval.
  • Collaborate with analysts/scientists to support reporting.
  • Support BI teams and ensure data availability for analytics.
  • Work with data scientists to integrate ML models into pipelines.
  • Identify opportunities for automation and implement scripts.
  • Document processes and share knowledge with the team.

Connaissances

Databricks
Python
Spark SQL
Airflow

Formation

Bachelor's Degree in Computer Science, Engineering, or related technical field
AWS Certified Data Engineer (Desired)

Outils

AWS Cloud
S3 / Glue / Athena / EMR

Description du poste

Here at ScottsMiracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job.

The Senior Analyst in Data Engineering is a technical role that supports data processing and integration efforts. You'll use your advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects. This role bridges the gap between data engineers and data analysts/scientists to optimize data-driven initiatives.

In this role you will :
Data Processing and Transformation:
  • Perform data extraction, transformation, and loading (ETL) processes.
  • Design and implement complex data transformation logic to meet business requirements.
  • Ensure the accuracy and reliability of data processing tasks.
Data Quality and Validation:
  • Implement and execute data quality checks to identify and address anomalies.
  • Collaborate with stakeholders to define and enforce data quality standards.
  • Monitor and troubleshoot data quality issues to maintain high standards.
Database Management:
  • Manage and optimize databases to support efficient data storage and retrieval.
  • Implement database schemas, indexes, and structures for optimal performance.
  • Collaborate with database administrators to ensure database integrity and security.
Reporting and Analytics Support:
  • Support data analysts and data scientists in creating reports and analytics solutions.
  • Collaborate with business intelligence teams to integrate data for reporting purposes.
  • Ensure data availability and accuracy for analytical purposes.
Collaboration with Data Scientists:
  • Work closely with data scientists to understand their data requirements and provide support.
  • Assist in the integration of machine learning models into data engineering pipelines.
  • Optimize data processing for machine learning tasks.
Process Automation:
  • Identify opportunities for process automation within data engineering workflows.
  • Implement automation scripts and tools to streamline repetitive tasks.
  • Enhance operational efficiency through the use of automation.
Documentation and Knowledge Sharing:
  • Document data engineering processes, workflows, and best practices.
  • Share knowledge and provide training to team members and other stakeholders.
  • Maintain up-to-date documentation for reference and training purposes.
What you'll need to be successful:
  • Bachelors Degree in Computer Science in Engineering, mathematics, or related technical field
  • Required : Databricks, python, Spark SQL, Airflow
  • Desired : AWS Certified Data Engineer
  • 4-7 years of experience preferred
  • 6+ years of experience in Data Engineering
  • Strong communication skills to timely and effectively convey information and consult with others
Skills:
  • 6+ years of developing and maintaining data pipelines (ETL/ELT)
  • 6+ years of programming experience in Databricks, Python, and Apache Spark
  • Experience with Apache Airflow
  • Experience in deploying solution in AWS Cloud with emphasis on Amazon S3, Glue, Athena, EMR, RDS, and lake formation
  • Experience in data modelling and writing complex SQL queries

The starting budgeted pay range for this role will generally fall between $115,900.00 - $136,400.00 per year. Scotts will consider various factors in determining the actual pay including your skills, qualifications, experience, and geographical location.

In addition to the determined base salary, this role is also incentive eligible under our corporate bonus programs.

For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New York, Oregon or Washington, state required pay thresholds will be factored into base salary.

Here at ScottsMiracle-Gro, we believe providing an enriching and engaging employee experience is what sets us apart from other organizations. We recognize our employees are so much more than just their job title so we offer programs and benefits that support them in all aspects of their lives. Wondering how we do it? Below is a glimpse of our highlight reel...Our Live Total Health program provides you with options to align to your personal needs. Selections range from medical, dental and vision coverage for you, your spouse/domestic partner and dependents to an outstanding wellness reimbursement program to an unbelievable 401K match (up to 7.5%)as well as a 15% discount on company stock and much moreWe know ourtalent is our most precious asset and your unique development contributes to our organization's success now and in the future. Career growth at our company is not always a ladder. It's much more like a rock climbing adventure. Grow through exploration and experiences rather than a predictable linear path.

We value the importance of family. We provide access to Maven Family Planning and up to $30,000 to accommodate for adoption, fertility and surrogacy.

Be part of something bigger by joining one of our Employee Resource Groups focusing on diversity and inclusion, family, education and sustainability: Scotts Women's Network, Scotts Black Employees' Network, Scotts Veterans Network, Scotts Young Professionals, Scotts Pride Network (GroPride), Scotts Associates for a Greener Earth (SAGE), Scotts Family TREE and our Associate Boards.

Join a company with a strong belief in giving back to the communities where we live and work. We have a shared passion for service and volunteerism and believe participating in community service benefits our communities and strengthens our team.

Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace. EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity

Notification to Agencies:Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.

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