About the Role
This position involves leading data initiatives, building robust analytical frameworks, and supporting strategic decisions through advanced data analysis and engineering practices.
Responsibilities
- Lead the design and implementation of scalable data pipelines
- Analyze complex datasets to extract actionable insights
- Collaborate with cross-functional teams to define data requirements
- Develop and maintain data models and warehouse structures
- Ensure data accuracy, consistency, and integrity across systems
- Optimize queries and improve performance of data workflows
- Translate business needs into technical data solutions
- Mentor junior engineers and promote best practices
- Evaluate and integrate new data tools and technologies
- Support data governance and compliance standards
- Drive automation of reporting and analytics processes
- Work closely with product teams to enable data-driven features
- Conduct root cause analysis on data discrepancies
- Document data architectures and system designs
- Participate in technical planning and project estimation
- Improve data quality through validation frameworks
- Enable self-service analytics for non-technical users
- Monitor data pipeline health and reliability
- Contribute to data strategy and long-term roadmaps
- Use statistical methods to interpret data trends
- Integrate data from multiple sources including APIs and databases
- Support A/B testing and experiment analysis
- Ensure scalability of data systems with growing demand
- Promote data literacy across departments
- Align data solutions with business KPIs
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model
Team
Collaborative engineering and data science environment
What We Offer
- Opportunities for professional growth and technical leadership
- Exposure to diverse industries and challenging projects
- Support for continuous learning and certifications
- Inclusive culture that values innovation and collaboration
- Flexible work arrangements and modern tools
Technology Stack
- Python, SQL, Scala
- Apache Spark, Airflow
- AWS Redshift, S3, Glue
- Snowflake, BigQuery
- Tableau, Power BI
Available for qualified candidates
