Key Functions:
- Proficient in building optimal data pipeline by close liaising with architect
recommendations and best practices
Work with data and domain experts to strive for greater predictive
functionalities for T F systems (legacy and modern cloud apps
Key Objectives :
Ability to wrk with large and complex data sets and have a good eye on
meeting the non-functional business requirements such as automation
principles, scalability and optimized data delivery
- Ability to implement actionable insights leveraging the pro-active or pre-
emptive measures and algorithms around the data driven architectur
Competencies:
- Strong verbal and written communication skills.
- Strong Analytical skills
- Proactive attitude to problem resolution.
- Able to perform a detailed Impact analysis.
- Able to understand wireframes and give suggestions for improvement of the same.
- Technologies Hands-on Experience (Years)
- RDBMS (SQL, Oracle) 3+
- Data Scripting: Phyton/R 3+
- Power BI 3+
- Data Tools like Hadoop, Spark, Kafka, AWS Sagemaker 2+
- GraphQL/Rest 2+
- Airflow/ AWS Kinesis 2+
- ETL Tools 2+
- Open source analytics tool (PowerBI, Tableau) 3+
- Experience of working on Defect / Requirement Management Tool (eg: Jira, Mingle)
- Able to perform root cause analysis of problems and identify a solution to the problem.
- Work flexibly and imaginatively in a changing and evolving project environment.
Responsibilities:
- Proficient in building optimal data pipeline by close liaising with architect recommendations and best practices
- Ability to work with large and complex data sets and have a good eye on meeting the non-functional business requirements such as automation principles, scalability and optimized data delivery.
- Working proficiency in building enterprise level ETL AND business analytics from wide variety of data sources (SQL and No-SQL) and big-data technologies
- Working experience in build open source analytics tools (Tableau, Power BI is also preferred) by utilizing the data pipeline, address KPIs and operational efficiencies.
- Ability to implement actionable insights leveraging the pro-active or pre-emptive measures and algorithms around the data driven architecture.
- Work with data and domain experts to strive for greater predictive functionalities for T&F systems (legacy and modern cloud apps).