Job ID: 24-03315 Onsite Senior Data Engineer is responsible for managing and organizing enterprise data . They will translate requirements and designs into functional data pipelines while ensuring the continued quality and completeness of information.

Senior Data Engineers will combine raw information from different sources to create consistent and machine-readable datasets that are easy to analyze and support company initiatives. They will support other Data Engineers and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

They will also implement methods to improve data reliability and quality , improve data visibility and reduce effort through automation.

Essential Duties

• Contribute on a team of data engineers through design , demand delivery, code reviews , release management , implementation , presentations , and meetings.
• Mentor fellow data engineers and contribute to ongoing process improvements for the team
• Evaluate business needs and objectives and align architecture designs with business requirements
• Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources
• Assemble large, complex data sets and model our data in a way that meets functional non-functional business requirements
• Create data tools for analytics team members that assist them in generating innovative industry insights that provide our business a competitive advantage
• Implement data tagging mechanisms and metadata management so data is accurately classified and visible to the organization
• Build processes to help identify and improve data quality, consistency and effectiveness
• Ensure our data is managed in a way that it conforms to all information privacy and protection policies
• Use agile software development processes to iteratively make improvements to our data management systems Identify opportunities for automation
• Be an advocate for best practices and continued learning

Requirements

• Bachelor's Tech School degree in Computer Science, Information Systems, Engineering or equivalent and or commensurate years of real-world experience in software engineering.
• 4+ years of relevant experience in data management
• 3+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT .
• Must have Snowflake
• Experience with performance analysis and optimization .
• Experience in data acquisition , transformation and storage design using design principles, patterns and best practices.
• Data engineering certification is a plus .
• Experience with Informatica , Kafka , CDC, SQL, Irwin, Python , AWS (S3, Athena, Glue, Kinesis, Redshift), Spark , Scala, AI Client , Modern data platforms, Snowflake , dbt , Fivetran and Airflow