Proficiency in SQL and Python (or PySpark) for data manipulation and analysis., Experience with Databricks, Azure Data Factory, and DevOps tools., Strong understanding of data architecture, quality, and governance principles..
Key responsibilities:
Lead the development of reliable and efficient data systems.
Mentor and guide team members to grow their data skills.
Collaborate with various teams to optimize data setup and workflows.
Communicate complex data concepts clearly to diverse audiences.
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Ci&T
5001 - 10000
Employees
About Ci&T
We are your tech transformation specialists, combining human expertise with AI to create scalable solutions that help you Navigate Change.
With over 6,500 CI&Ters and partnerships with more than 1,000 clients, we have a 30-year history of transformation.
As a Senior Data Architect, you are the leader who turns ideas into great data systems using the latest technology. Your goal is to improve how reliable our data systems are and to help make everyones work go more smoothly. You will be the guide for the newer team members, teaching them to grow in their roles. You will work with different teams to make sure our data setup works well for everyone, explaining complicated data concepts in simple terms. You must be skilled in using our technology tools and programming languages. You should also be good at guiding the team through updates and changes. In short, youre the key person who will take our data capabilities to the next level and keep our team learning and thinking in new ways.
Requirements for this challenge:
Proficient in SQL and Python (or PySpark) for data manipulation, ingestion, clean up and analysis.
Experience with Databricks environment, and Portal Azure DevOps and Azure Data Factory (ADF).
Strong understanding of data architecture, data quality principles and data governance practices, including logging, cataloging and lineage tracking.
Expertise in implementing CICD pipelines for ETL processes.
Proficiency in English, both written and verbal, for clear communication of complex data concepts to diverse audiences High Intermediate
Nice to have:
Experience with Databricks Unity Catalog
Experience in data products and its integration with satellite systems.
Experience with predictive modeling; expertise in salesrelated predictive models is a plus.
Experience in team data leadership
#LIMR5
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.