Experience </h2> 5–8 years of experience</b> as a Data Analyst, Data Engineer, or Analytics Engineer</b> </p></li> Experience working in Agile/Scrum</b> delivery environments </p></li> Prior experience in a FinTech</b> organization in a data -focused role is a strong plus </p></li></ul> Must Have Skills </h3> Strong hands -on experience with Python for Data Science and Analysis</b>, including: </p> pandas, numpy, requests</b>, and related libraries </p></li></ul></li> 5+ years of experience writing advanced SQL</b>, including: </p> CTEs</b> </p></li> Window functions</b> </p></li></ul></li> Working knowledge of data platforms and databases</b>, including: </p> Snowflake</b> </p></li> PostgreSQL</b> (AWS RDS preferred) </p></li></ul></li> Ability to write production -quality code</b> in Python and SQL</b> </p></li> Hands -on exposure to cloud environments</b> (preferably Azure</b> or AWS</b>) </p></li></ul> Good to Have Skills </h3> Experience with Data Quality frameworks</b> (e.g., Great Expectations</b>, Pytest</b>) </p></li> Exposure to Data Observability tools</b> </p></li> Knowledge of CI/CD pipelines</b> using Jenkins</b> or Bamboo</b> </p></li> Familiarity with data quality and governance practices</b> </p></li></ul> </div></span>
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed