Data Engineer-Data Management and Analytics-Data Ops/Data Analyst

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Data Engineer-Data Management and Analytics-Data Ops/Data Analyst

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Job Info

• Job Identification6649
• Posting Date11/13/2025, 09:46 AM
• Job RoleData Management and Analytics-Data Ops/Data Analyst
• Experience (In Years)3-6

Job Description

Responsibilities

• · Collaborate with client stakeholders to analyze and synthesize the client data to meet the business objective, reporting dashboard, and descriptive/predictive/prescriptive analytic requirements.

• · Leverage best practices and industry leading tools and technologies to profile data, develop efficient ingestion, and build semantic data layers.

• · Design data models and solutions for analytical and reporting use cases.

• · Build and maintain scalable data transformation workflows in dbt (data build tool) and Snowflake, ensuring clean, consistent, and well-modeled data sets that serve as the foundation for analytics and reporting.

• · Implement data quality testing, documentation, and version control within dbt to enforce best practices in data governance and maintain transparency across the analytics lifecycle.

• · Develop efficient, reusable data pipelines and Tableau use case layers that enable cross-functional teams to perform self-service analytics and advanced data exploration with minimal engineering dependency.

Qualifications

• · Master’s or Bachelor's degree in Data Science, Computer Engineering, Math, Statistics, Economics or related analytics field from top-tier universities with strong record of achievement.

• · 3-5 years of experience with solid data engineering skills.

• · Hands-on knowledge of traditional relational data warehouse technologies, such as SQL (including Analytical SQL functions), dbt (data build tool), Tableau, Python/Pyspark.

• · Experience in data architecture and data modeling, including creating Semantic Layer Data Models.

• · Preferred expertise in Sports industry.

• · Experience in Machine Learning or NLP, such as Scikit-Learn, SpaCity, Pytorch, or Spark NLP is desirable.

• · Prior experience in management consulting and/or analytics based consulting is desirable.

Responsibilities

• Design and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders.

Qualifications

• Bachelor's/Master's in Engineering 2-5 years

Required Skills

• Attention To Consistency
• Bug Troubleshooting and Analysis Skills
• Data Modeling
• Data Pipeline Architecture
• ETL Processes
• Internal Communications
• Interpersonal Relationship Building
• Leadership Capabilities
• Scriptwriting
• Technical Documentation
• Working under Pressure

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