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Tech Stack
Tools & technologiesAzureCloudPySparkPythonSplunkSQLUnix
About the role
Key responsibilities & impact- Own and manage day-to-day operations of Data & Analytics platforms, ensuring SLA-driven support and service delivery
- Support cross-functional teams by delivering data insights for complex business problems
- Collaborate with data engineers, data scientists, and stakeholders to deliver data-driven outcomes
- Gather requirements, define data models, and support solution design with architects and engineering teams
- Perform data exploration, analysis, and maintain data definitions, business rules, and lineage
- Drive documentation, testing (functional, regression, exploratory), and execution of test plans
- Build, enhance, and support scalable data pipelines (batch and real-time) across multiple systems
- Implement data governance practices and promote data literacy across the organization
- Identify and address technical debt; continuously improve and optimize processes
- Monitor, troubleshoot, and tune performance of data platforms and analytical solutions
- Champion automation-first, enterprise-first, and reusable solution design principles
- Support infrastructure and cloud-based solutions including SaaS, PaaS, IaaS, and IaC practices
- Communicate insights and results through reporting and presentations
Requirements
What you’ll need- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field
- 7+ years of experience in data analytics or data engineering
- At least 2 years of experience in a leadership or mentorship role
- Strong experience with modern data platforms including Databricks, Snowflake, and Azure Data Factory
- Proficiency in SQL, Python, and/or R for data analysis and engineering
- Experience with reporting and visualization tools such as Power BI
- Knowledge of legacy and enterprise systems such as SAP, SQL Server, DataStage, and Unix scripting
- Strong understanding of data engineering, analytics, and large-scale data processing
- Experience with distributed data processing tools (e.g., PySpark)
- Familiarity with tools like Splunk, Alation, and data governance frameworks
Benefits
Comp & perks- Competitive compensation
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Annual bonus or long-term incentive opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonRdata analysisdata engineeringdata modelingdata explorationdata governancedata pipelinesdistributed data processing
Soft Skills
leadershipmentorshipcollaborationcommunicationproblem-solvingdocumentationtestingoptimizationautomationdata literacy