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* Sr. Data Engineer (464)
Amplify Consulting PartnersUnited Statesfull_timeVerifiedPosted 14 May 2024
💰 $160,000/yr($120,000/yr – $160,000/yr)
About the role
ABOUT THE COMPANY Amplify Consulting Partners is a data-first consulting company trusted by Fortune 500 businesses to deliver high-impact professional services across the technology ecosystem—from data engineering and visual analytics to data-driven marketing and program management. We build and empower high-performing people by promoting growth and connection across our company culture. We don't just hang core values on the wall, we make every decision with them in mind—developing trusted, long-term relationships on a foundation of transparency and accountability. DEI STATEMENT We hold ourselves accountable for creating an authentic workplace where every person feels heard and experiences a sense of belonging. We believe that organizations can be an instrument for positive human impact when they champion a diverse, inclusive, and equitable environment. We do this at Amplify by enacting programs and policies that promote DEI—and with humility, if we miss the mark, we rigorously amend our practices to better achieve our targeted outcomes. Simply put, we turn our words into action. ABOUT THE ROLE We are seeking a highly skilled Senior Data Engineer with expertise in Snowflake, Matillion, DBT, and the Microsoft Data Stack to join our dynamic team. The Senior Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and ETL processes, as well as providing technical leadership and mentorship to junior members of the data engineering team.Responsibilities:
- Design and implement scalable and high-performance data pipelines using Snowflake, Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics).
- Collaborate with cross-functional teams to gather requirements, define project scope, and develop data models.
- Provide technical leadership and mentorship to junior data engineers, guiding them in best practices and coding standards.
- Conduct code reviews to ensure quality, performance, and adherence to best practices.
- Serve as a subject matter expert in Snowflake, Matillion, DBT, and the Microsoft Data Stack, staying abreast of industry trends and advancements.
- Troubleshoot and optimize existing data pipelines and processes to improve performance and reliability.
- Create and maintain technical documentation, including architecture diagrams, design documents, and implementation guides.
- Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred.
- 5+ years of experience in data engineering, with a focus on cloud-based data platforms.
- Extensive hands-on experience with Snowflake, Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics).
- Proficiency in SQL and Python for data manipulation and transformation.
- Experience with other cloud platforms such as AWS, GCP, or Azure is a plus.
- Strong problem-solving skills and the ability to troubleshoot and optimize data pipelines and processes.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.
- Prior experience in a leadership or mentorship role is highly desirable.
- Demonstrated ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
- PTO – 3 weeks (accrual based)
- 10 observed holidays
- Medical/dental/vision – employee is covered at 100%, dependents are subsidized.
- Parental leave, short-term disability, long-term disability, and life insurance options
- Student loan payback program
- Mentorship and training opportunities
- Business and employee referral bonus opportunities
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