Job Description
Designing DWH schemas.
Designing a solution and a relationships diagram between different components.
Supporting other team members and tackling technical issues facing other team members.
Making a time plan for the project and assessing the needed resources for the planned architecture.
Taking requirements from business user and delegate it to other team members working together towards solving it.
Writing python scripts for data manipulation.
Installing Servers for different visualization tools.
Developing custom visuals for different visualization tools.
Desired Candidate Profile
Profile:
Bachelor s degree in computer science or equivalent.
4-6 Work experience.
2+ years experience in Banking industry.
Strong analytical and problem-solving skills.
Proven experience with ETL tools such as Informatica Power Center,
Proven experience in using SQL.
Experience in Design, build, and maintain physical databases, dimensional data models, OLAP cubes, ETL layer design and data integration strategies.
Understanding basics of data quality, data integrity.
Recommend improvements to enhance existing ETL and data integration processes to enable performance and overall scalability.
Interact closely with Business Analysis team, ETL team and BI Reporting teams to ensure understanding of proper use of data architecture.
Perform end to end data validation to maintain accuracy of data sets.
Proven experience in Creating a full solution architecture.
Experience in Creating an ERD for a full system.
Knowledge of data governance and quality management principles
Preferable to have hands-on experience in designing and implementing data lake solutions. Proficiency in relevant technologies such as Hadoop, Spark, Hive, AWS S3, Azure Data Lake, and data lake management tools is a plus
Education:
Bachelor of Science(Computers)
Gender:
nm
Nationality:
Any Nationality