Data Engineer
The successful candidate will have strong verbal and written communication skills and effectively communicate with the client and internal team. A strong understanding of databases, SQL, cloud technologies, and modern data integration and orchestration tools. Essential Duties and
Responsibilities:
Lead design sessions to develop ETL logic that meets business and data scientists' requirements. Create and build robust data structures to support end user's analysis and decision-making across multiple business verticals. This includes both end-to-end architecting and business solutions. Provide mentoring on database systems to other development and business teams. Monitor data warehouse eco-system and identify opportunities to make enhancements. Provide support in fixing database and data quality issues via reverse engineering. Contribute to and care about data quality efforts, ensuring data accuracy and transparency for our stakeholders. Participate in brainstorming sessions and contribute ideas to our technology, algorithms, and products. Adhere to timelines and excel in a fast-paced, high-energy environment. Drive data best practices and contribute to the development of overall data strategy and roadmap. Required Knowledge, Skills & Abilities Bachelor's degree in CIS, MIS, IT, or related Database Theory degree; or equivalent experience 4
years of experience in the development and maintenance of complex data systems Working knowledge of emerging database technologies such as Elastic Search, Big Query, Mongo or equivalent. Excellent database tuning techniques and practices, including partitioning, performance tuning, and working with application development teams for enhanced performance At least 1 year of Spark experience. Advanced experience leveraging various strategies for ingesting, modeling, processing, and persisting data as well as excellent analytical and problem-solving skills. Troubleshoot live site issues, engage appropriate parties, and drive through to resolution Desired Knowledge, Skills & Abilities Master's degree, MBA or Ph.D. degree is a plus. Cloud Experience preferred (e.g. AWS, Azure, Google Cloud Platform, etc.). Demonstrated Azure experience with Data Factory, Analysis Services, SQL Managed Instance, Synapse, and DevOps.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Responsibilities:
Lead design sessions to develop ETL logic that meets business and data scientists' requirements. Create and build robust data structures to support end user's analysis and decision-making across multiple business verticals. This includes both end-to-end architecting and business solutions. Provide mentoring on database systems to other development and business teams. Monitor data warehouse eco-system and identify opportunities to make enhancements. Provide support in fixing database and data quality issues via reverse engineering. Contribute to and care about data quality efforts, ensuring data accuracy and transparency for our stakeholders. Participate in brainstorming sessions and contribute ideas to our technology, algorithms, and products. Adhere to timelines and excel in a fast-paced, high-energy environment. Drive data best practices and contribute to the development of overall data strategy and roadmap. Required Knowledge, Skills & Abilities Bachelor's degree in CIS, MIS, IT, or related Database Theory degree; or equivalent experience 4
years of experience in the development and maintenance of complex data systems Working knowledge of emerging database technologies such as Elastic Search, Big Query, Mongo or equivalent. Excellent database tuning techniques and practices, including partitioning, performance tuning, and working with application development teams for enhanced performance At least 1 year of Spark experience. Advanced experience leveraging various strategies for ingesting, modeling, processing, and persisting data as well as excellent analytical and problem-solving skills. Troubleshoot live site issues, engage appropriate parties, and drive through to resolution Desired Knowledge, Skills & Abilities Master's degree, MBA or Ph.D. degree is a plus. Cloud Experience preferred (e.g. AWS, Azure, Google Cloud Platform, etc.). Demonstrated Azure experience with Data Factory, Analysis Services, SQL Managed Instance, Synapse, and DevOps.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
