Banking and Financial Service Industry (BFSI), Pharma and health care , entertainment , ecommerce , retail and whole sale and manufacturing.
Minimum Educational Qualifications: Bachelor’s degree Computer Science , Information Technology , Information Systems or in any field with an emphasis on computing and IT with quantitative techniques.
At least 5 years of experience in , data analysis ,data engineering , data science or a related field such as software engineering.
Certifications: Relevant certifications such as Microsoft Certified : PowerBI Data Analysts Associate, Databricks certified Data Engineering Associate ,Microsoft Certified Fabric Analytics Engineer. Microsoft Fabric Data Engineer
Skills:
Technical Skills
Data management : Experience in implementing meta- data management tools ,Azure purview / databricks unity catalog for lineage and data discovery and enhancing governance and tranparency.
Tools and Software: proficiency in tools such as SQL, Python,Power BI and Azure Data Factory .
Database Management and Data Modelling: Proficiency in data modelling , schema design applying industry standard methodologies to structure enterprise- wide warehouses and subject area- marts which provide consistency ,availability and scalability.
Business Acumen: Ability to translate business requirements into data analysis tasks and provide insights that drive strategic decisions.
Data Ops : Experience with Git, or Azure DevOps , automated testing , and orchestration frameworks
Data Analysis: Proficiency in analyzing large complex data sets using statistical methods and tools.
Cloud Platforms: Experience with cloud services specifically Azure for scalable data solutions and Databricks analytics platform.
Data Engineering: Experience with ETL/ELT processes to move and transform data , Ability to develop, construct, test, and maintain data pipelines.
Soft Skills
Preferred Traits: The company seeks a proactive, detail- oriented individual who is curious and passionate about data. They should be a team player with strong interpersonal skills.
Adaptability: Flexibility to adapt to changing business needs and priorities.
Attention to Detail: High level of accuracy and attention to detail in data analysis and reporting.
Communication: Excellent verbal and written communication skills to effectively present findings and insights.
Collaboration: Ability to work well with cross- functional teams and stakeholders.
Analytical Thinking: Strong problem- solving skills and the ability to think critically about data.
