ExecuSource
Senior Data Engineer
ExecuSource, Alpharetta, Georgia, United States, 30239
Senior Data EngineerLocation:
Alpharetta, GAPay:
$145k plus bonusSchedule:
Hybrid - 3 days in office/2 days remote
Summary:As a Senior Data Engineer, you'll drive key projects like re-platforming data services on both cloud and on-prem, and building real-time streaming for business applications. You'll focus on optimizing data processing, modeling, pipeline architecture, and managing data SLAs, ensuring quality, usability, and performance of data solutions. Our goal is to create a robust data and analytics infrastructure that supports analytics, data monetization, model training, and predictive analysis.
What you get to do:
Partner with departments to enhance data assets and identify key datasets for business opportunities.Lead design sessions, code reviews, and guide data collection and ETL pipeline processes.Build scalable data solutions, model data, and ensure high-quality data curation.Provide analytical support for key projects, driving data-driven decision-making.Collaborate with Architecture to recommend optimal data structures and support reporting and analytics improvements.What you need to succeed:
Bachelor's in Computer Science, Engineering, Math, or related field (or equivalent experience).8+ years in data and analytics, with 4+ years in data modeling and architecture.Experience with GCP, RDMS, NoSQL, and data platforms (e.g., Snowflake, Databricks).Strong knowledge in data quality, compliance, governance, and security.Proficiency in data modeling, SQL, Python, and analytics platform usage.Self-motivated and committed to excellence, embodying core values of respect, accountability, innovation, safety, and excellence.What's in it for you:
Excellent company benefits offered.401k vested day one!Hybrid schedule.
Apply now! One of our recruiters will review your profile and we will be in contact if you qualify!#IT123
Alpharetta, GAPay:
$145k plus bonusSchedule:
Hybrid - 3 days in office/2 days remote
Summary:As a Senior Data Engineer, you'll drive key projects like re-platforming data services on both cloud and on-prem, and building real-time streaming for business applications. You'll focus on optimizing data processing, modeling, pipeline architecture, and managing data SLAs, ensuring quality, usability, and performance of data solutions. Our goal is to create a robust data and analytics infrastructure that supports analytics, data monetization, model training, and predictive analysis.
What you get to do:
Partner with departments to enhance data assets and identify key datasets for business opportunities.Lead design sessions, code reviews, and guide data collection and ETL pipeline processes.Build scalable data solutions, model data, and ensure high-quality data curation.Provide analytical support for key projects, driving data-driven decision-making.Collaborate with Architecture to recommend optimal data structures and support reporting and analytics improvements.What you need to succeed:
Bachelor's in Computer Science, Engineering, Math, or related field (or equivalent experience).8+ years in data and analytics, with 4+ years in data modeling and architecture.Experience with GCP, RDMS, NoSQL, and data platforms (e.g., Snowflake, Databricks).Strong knowledge in data quality, compliance, governance, and security.Proficiency in data modeling, SQL, Python, and analytics platform usage.Self-motivated and committed to excellence, embodying core values of respect, accountability, innovation, safety, and excellence.What's in it for you:
Excellent company benefits offered.401k vested day one!Hybrid schedule.
Apply now! One of our recruiters will review your profile and we will be in contact if you qualify!#IT123