-5+ years of experience in statistics, with practical application of statistical software (e.g., Excel, SPSS, SAS) and proficiency in data analysis languages like SQL and Python.
-3+ years of hands-on experience managing and optimizing data management ecosystems, including tools like DBT.
-3+ years of hands-on experience with data visualization tools (e.g., Tableau, Power BI, Plotly).
-Excellent communication and collaboration skills, with experience working effectively in remote and global teams.
-Passion for building large-scale distributed systems and comfort in writing maintainable, extensible, scalable, and highperformance code.
-Exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
-Capable of critically evaluating data to derive meaningful, actionable insights.
-A bachelor’s degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.
-Bachelor’s or Master of Science in Computer Science, Information Systems, or a related degree.
-Proven track record of leading and delivering large-scale, cross-team, cross-functional projects.
-Enjoys collaborating on an agile development team, demonstrating empathy for teammates and customers.
-Comfortable evaluating and adapting to the latest tools and technologies.

Bonus points:
-Experience in cloud-based platforms such as GCP, AWS, Azure, or similar technologies
-Experience in other databases like BigQuery -Experience in observability Still Open (Priority) More Clarification from the HM

Must-Have Skills: Is the Data Analyst skillset (SQL, Python, stats) a hard requirement, or can stronger backend experience compensate? Yes, stronger BigData processing backend experience could be considered with minimal knowledge on data analysis Which programming languages (Java/Scala/Go) or frameworks (Spark/Kafka) are most critical? Both frameworks and language listed here are critical for the BigData backend Engineer Primary Focus: Should candidates prioritize expertise in distributed systems design, big data optimization, or data analytics? Prioritize distributed systems design and big data optimization over data analytics