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SalaryAbout Deep Sync
Our parent company, Compact Information Systems LLC, is considered a pioneer of the data industry and was originally founded in 1988 as a mailing list company for direct marketers and print shops. Thirty-five years later, and combining the strength of our sister brands – AccuData Integrated Marketing, AlumniFinder, ASL Marketing, College Bound Selection Service (CBSS), Deep Sync Labs and HomeData – we have grown to become some of the foremost data suppliers in the U.S.
Today, we are Deep Sync. A company that powers agencies and brands with unmatched audience insights, unsurpassed reach, and unrivaled expertise by combining the industry’s most comprehensive data with easy-to-activate solutions. We provide billions of privacy-first data connections annually to thousands of customers. Learn more about us here.
Position Overview
We are seeking a Senior Data Engineer with a robust background in Data Engineering to join our team. The ideal candidate will be pivotal in designing, developing, and maintaining our data infrastructure. This role emphasizes not on building machine learning models but on integrating and deploying these models into our data pipelines to enhance our capabilities in advanced analytics and machine learning processes. The successful candidate will contribute expertise to improve and scale our Data Engineering practices, ensuring the seamless incorporation of machine learning models into our operational workflows.
Key Responsibilities:
- Data Pipeline Development:
- Design, implement, and maintain scalable data pipelines to collect, process, and store data from various sources.
- Ensure data quality, accuracy, and consistency throughout the pipeline.
- Data Modeling Integration:
- Design and implement existing data models for predictive analytics, machine learning, and data exploration.
- Optimize data structures and storage to support predictive analytics/machine learning processes.
- Data Integration:
- Work closely with cross-functional teams to integrate data from diverse sources, including databases, APIs, and external data providers.
- Develop and maintain ETL processes to transform and enrich raw data into actionable insights.
- Performance Tuning:
- Monitor and optimize the performance of data pipelines and databases to meet business requirements.
- Identify and resolve bottlenecks and performance issues.
- Continuous Learning and mentoring:
- Stay up-to-date with the latest advancements in Data Engineering and data science technologies.
- Share knowledge and mentor junior team members.
Requirements:
- 5+ years experience in SQL Query Design, SQL Performance Tuning and Query Optimization
- 5+ years of relevant experience in Data Warehouse Design, Data Warehouse Technical Architectures, Development and Implementation
- 5+ years of relevant experience in ETL Development, ETL Implementation, Unit Testing, Troubleshooting and Support of ETL Processes
Knowledge and Skills:
- Proficiency in SQL Query Design and Implementation
- Strong Experience with Relational Data Warehouse Systems
- Data Warehouse Management Systems
- Optimization by Indexing, Partitioning and Denormalization
- Strong Ability to build and optimize data sets, ‘big data’ data pipelines and architecture
- Programming skills in languages such as Python or C# required.
- Strong analytical and problem-solving skills
