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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing complex data pipelines using SQL, Python, and big data technologies. Proven ability to lead data governance initiatives and collaborate with cross-functional teams to deliver scalable data solutions.
Highest-signal resume keywords
Advanced SQL KnowledgeData Engineering ExperienceBig Data Technologies (Hadoop, Spark, Kafka)Cloud-Based Environments (Azure, AWS, GCP)Data Governance Policies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonJavaScalaETL ToolsData Modeling TechniquesData Warehousing SolutionsData Pipeline DesignAutomationData Delivery Optimization
Soft Skills
Problem SolvingCollaborationProcess ImprovementTechnical Leadership
Tools & Technologies
Hadoop EcosystemSparkKafkaAzureAWSGCP
Industry Keywords
Data GovernanceData Integration StrategiesData Science InitiativesCross-Functional TeamsInfrastructure Redesign
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformHadoopJavaKafkaPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design, implement, and optimize complex data pipelines using advanced SQL, ETL tools, and integration technologies
- Collaborate with cross-functional teams on data solutions for advanced analytics and data science initiatives
- Lead process improvements involving automation, data delivery optimization, and infrastructure redesign for scalability
- Evaluate and recommend emerging data technologies for comprehensive data integration strategies
- Lead technical discovery processes, define complex requirements, and map detailed scenarios
- Develop and maintain data governance policies and procedures
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Management, or related field
- At least 5 years of experience in data engineering or related roles
- Advanced proficiency in multiple programming languages, such as Python, Java, and Scala
- Expert-level SQL knowledge
- Extensive experience with big data technologies, including the Hadoop ecosystem, Spark, and Kafka
- Experience with cloud-based environments, including Azure, AWS, or GCP
- Proven experience designing and implementing large-scale data warehousing solutions
- Deep understanding of data modeling techniques and enterprise-grade ETL tools
- Demonstrated ability to solve complex analytical problems
- All applicants must be legally authorized to work in the United States
- Must successfully complete a pre-employment background check, including a drug screen
- Netsmart does not provide work visa sponsorship for this position
Benefits
Comp & perks- Pre-employment background check and drug screen provided at Netsmart’s sole expense
- Equal employment and advancement opportunities
- Healthy and safe workplace
- Drug-free workplace
