Senior yst

3 days ago

Ahmedabad, India Infraveo Full time

This is a remote position.

We are seeking a Senior Analyst to join our team.
  • Collaborate with the data engineering team to design develop and support highquality data analytics and reporting solutions.
  • Build and maintain robust data architectures.
  • Design and create databases tables and queries based on business needs.
  • Ensure data quality and integrity.
  • Create copy and clone tables from different DBMS into SQL Server.
  • Utilize expertise in SQL Server Virtual Machine concepts and architecture.
  • Maintain production reliability ensuring performance uptime and recoverability.
  • Conduct performance tuning as needed and develop expertise in the scope of data used by the entire Retail Operations team.
  • Support data access and security.
  • Integrate data views with BI tools such as Tableau and Power BI.


Requirements
  • Bachelor s degree in Computer Science Information Systems Engineering or a related discipline preferred.
  • 4 years of relevant data management experience in consulting or industry (e.g. master data metadata data architecture data governance data quality data modeling data standards).
  • Expertlevel skills in SQL Server architecture.
  • Advanced Python skills including Pandas data wrangling and loading.
  • Detailed understanding of data governance and data profiling concepts.
  • Experience working in Agile development environments.
  • Experience with cloudbased data platforms such as Google Analytics and Snowflake and building Airflow pipelines is a plus.


Benefits
  • Work Location: Remote
  • 5 days working


4+ years of relevant data management experience in consulting or industry (e.g., master data, metadata, data architecture, data governance, data quality, data modeling, data standards). Expert-level skills in SQL Server architecture. Advanced Python skills, including Pandas, data wrangling, and loading. Detailed understanding of data governance and data profiling concepts. Experience working in Agile development environments. Experience with cloud-based data platforms such as Google Analytics and Snowflake, and building Airflow pipelines is a plus.

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