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Organic Department Manager (SEO & GEO) Were looking for an experienced digital marketing leader to ... through data-driven digital marketing. We emphasize a disciplined, transparent approach, and we ...
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The role involves developing and optimizing complex data pipelines and building scalable AI/ML solutions, with a focus on integrating model pipelines and collaborating with data science teams.
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Data Optimization information
What are some typical challenges faced in a data optimization role?
Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.
What is a data optimization?
A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.
What are the key skills and qualifications needed to thrive in data optimization, and why are they important?
To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

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Job description
Duration: Long Term Contract
Job Description
We are seeking a Consultant – Data Management with strong hands-on expertise in Oracle, Snowflake, SQL performance tuning, data quality, and financial data models. This is a pure relational database role and is not suitable for candidates whose recent experience is primarily focused on AWS Glue, Databricks, Hadoop, or PySpark-based data ingestion.
The ideal candidate will have experience optimizing SQL performance, analyzing complex data quality issues, working with Collibra, and partnering with business and technology teams to define functional requirements and implement enterprise data solutions.
Key Responsibilities
- Analyze, optimize, and tune SQL queries in Oracle and Snowflake environments.
- Perform SQL performance analysis using Explain Plan and other optimization techniques.
- Troubleshoot complex data and system issues through root cause analysis.
- Identify and resolve data quality and data profiling issues.
- Design and review relational database models, including normalization (2NF/3NF), denormalization, and dimensional modeling.
- Understand and work with Financial Data Models, including Party and Party Relationship structures.
- Gather, analyze, and document business requirements.
- Translate business requirements into functional specifications, use cases, and technical designs.
- Participate in technical design reviews, testing, UAT, and release planning.
- Manage requirement traceability, scope changes, and change control.
- Collaborate with business stakeholders and technology teams on enterprise data initiatives.
- Contribute to SDLC improvements and enterprise data management best practices.
Required Skills
- 6+ years of hands-on SQL development and optimization.
- Strong Oracle SQL expertise.
- Strong Snowflake SQL expertise.
- SQL Performance Tuning.
- Explain Plan analysis.
- Query optimization.
- Data Quality and Data Profiling.
- Collibra.
- Financial Data Model knowledge.
- Party & Party Relationship data models.
- Requirements gathering and documentation.
- Functional specifications and use case development.
- Strong stakeholder communication.
Preferred Skills
- Data Modeling.
- Banking Data Structures.
- Artificial Intelligence exposure.
- Enterprise Data Analytics.
- SDLC best practices.
- Agile methodologies.
- Operational Architecture.
- Systems Integration.
SYSMIND LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without any discrimination. We promote and support a diverse workforce at all levels in the company. All job offers are contingent upon completion of a satisfactory background check and reference checks. Additionally passing the drug test may also be required. All contractors intending to work on SYSMIND's W2 are "at will" employees.
About SysMind
Sourced by ZipRecruiter
Founded in 1999, SysMind is a reliable recruitment and staffing company that assists businesses with their human capital needs. We bring our expertise in staffing solutions, both locally and internationally. A cost-effective company, we assist companies in their growth journey by adopting emerging technologies and up-skilling resources as per their requirements. Our expertise of over two decades in different industries empowers us with the knowledge to provide you with a quick & dependable response to all your human capital needs without compromising quality.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Princeton Junction, NJ, US
Year founded
1999