Sr. Data Engineer (442)
Description
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.
The Role
- 5+ years’ experience with SQL Server. Expert level TSQL knowledge required; Writing and Optimizing SQL queries that report on large, complex data sets.
- 5+ years of experience with Azure stack (Databricks, Azure Data Factory, Azure Data Warehouse, SQL Server, Synapse)
- 5+ years’ experience designing and implementing scalable ETL processes including data movement (Azure Data Factory, replication, etc.) and quality tools; Responsible for production ETL/ELT pipelines, whether via Azure data Factory , metadata-driven stored procedures, or other tools/techniques.
- 2+ years' experience building and or maintaining dimensional models. Clear understanding of concepts like cardinality/granularity & fact vs dimension and other general dimensional modeling principals. Familiarity with modeling in Delta and Parquet for both Tabular to build/maintain multiple dimensional models that span a whole department or organization. Concepts like fact vs. dimension tables, granularity, and star schema modeling are second nature.
- 2+ years’ experience building cloud hosted data systems, Azure preferred; Familiar with Azure database and data pipeline tools, and ideally have some production experience with one of the major cloud platforms.
- 2+ years working with Synapse for spark workloads - PySpark experience required
- 2+ years with COSMOS, specifically with SCOPE scripting.
- Knowledge of data anonymization and aggregation in large scale warehouse would be a plus.
Please note that we unfortunately cannot provide sponsorship at this time.
SALARY AND BENEFIT HIGHLIGHTS
- 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
OUR HIRING PRACTICES