Intracruit Solutions is seeking a Senior Data Engineer to manage data implementations, integrations, production, quality, and security. The ideal candidate will be responsible for troubleshooting data issues and collaborating with cross-functional teams to design and implement scalable data architectures.
Responsibilities:
- Create, maintain and execute complex SQL queries for data management and data validation
- Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows
- Monitor data workflows and ensure data quality, consistency, and reliability
- Design and implement scalable and secure data architectures to support new and existing applications
- Perform production solutions and services configurations as needed
- Serve as a change agent to identify organizational improvements and make recommendations to improve business processes
- Collaborate with cross-functional teams including technical product owners, analysts, and software engineers
- Create and maintain SOP documents
- Participate in code reviews, sprint planning, and architectural discussions
- Mentor junior engineers and promote best practices in data engineering
- Participate in meetings with clients and/or stakeholders
- Completes work as assigned
- Provide after-hours or weekend support as needed
- Demonstrate an ability to work independently
- Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity
- Complete task assignments using department ticketing/productivity systems within assigned deadline
- Achieve organizational and individual goals as identified in performance reviews and goal setting exercises
Requirements:
- Bachelor's degree in Computer Science, Information Technology or equivalent work experience
- 8+ years of experience in data engineering or a related role
- 8+ years of data analysis
- 8+ years hands-on work in SQL and/or PL/SQL
- Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high-volume, low-latency workloads
- Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.)
- Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook
- Strong analytical skills
- Excellent verbal, listening and written communication skills
- Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times
- Ability to work well independently or in a team environment
- Communicating with others to exchange information
- Assessing the accuracy, neatness and thoroughness of the work assigned
- Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims
- Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred
- Experience with project management tools like JIRA
- Strong understanding of agile development practices, preferably SAFe
- Flexible work schedule