Implement processes and documentation supporting data acquisition, validation, organization, and storage to establish a set of Certified Datasets to support analytics and reporting needs.
Analyze problems and errors produced by business applications.
Evaluate query design, data structure, and data quality to provide recommendations for improvement as needed.
Manage data sources, databases, and data flows to ensure availability and consistency.
Assist in creation and maintenance of master data across multiple systems Audit data.
Required Skills
Data Analyst with Qlikview/Qlik Sense/Tableau background.
Should have Software Engineering background.
Knowledge of big data infrastructures such as Hadoop or Snowflake will be an asset.
Creative, innovative, and critical thinker with excellent problem-solving skills.
Strong organizational and project management skills with the ability to work independently and in a team environment.
Should be able to understand the existing RDBMS and also big data system (Hadoop / Hive) and extract the data himself and do the statistical analysis.
Required Experience
3+ years of experience in database management or performance analytics.
Experience with database languages such as SQL, Python, Spark, or NoSQL/MongoDB.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets preferred.
Experience with cloud technologies would be an asset. Specifically – Hana, SQL Server, Azure Data Factory, Stream Analytics.
Experience with SAP ECC, BW and BODS suite of tools.
Education Requirements
Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.