Data Scientist

Experience 2 - 6 yrs
Job Location Hyderabad
CTC Best in Industry
Skills relational data sources, flat files, csv, sql, oracle, sql server, MSACCESS, Hive Query Language, hadoop, data reconciliation, data completeness, data cleaning, data transformation, segmentation, normalization, data quality test, etl, data modelling, nosql, mapreduce, cassandra, d3js, highcharts View More

Job Description


Paysafe delivers a full suite of payments solutions. From card issuing to acquiring; from payment gateways to merchant accounts; from fraud and risk to compliance; from digital wallets and mobile to invoicing - we process millions of transactions worldwide and we value our relationships at every point in the process.
Paysafe is a global company with a dynamic environment operating in multiple countries including the UK, Bulgaria, Austria, India, Canada and the US.

Candidate Responsibilities:

- Identifying important datasets out of tons of data provided to you based on domain knowledge and interaction with business stakeholders
- Manage mapping of data fields from Relational databases to NoSQL data bases
- Design data models in non-relational databases and migrate data from relational to non-relational databases
- Check for Data Completeness, Data accuracy, Data Transformation, Categorization, Commonalization& Data Quality for all data feeds
- Enable data validation frameworks to validate data migrated from relational to non-relational databases
- Ability to independently process, sanitize, and verifying the integrity of data used for analysis
- Ability to enhance/optimize data migration procedures to include data that is relevant for building analytic systems
- Support reporting analysts in enabling the required data in flattened structures

Candidate Requirements:

- Experience of analyzing data from relational data sources, Flat files, CSV files
- Experience of writing Advanced SQL (Oracle, SQL Server, MSACCESS), Hive Query Language (Hadoop) queries for Data Reconciliation, Data Completeness, Data cleanness, Data Transformation, Segmentation, Normalization and Data Quality tests.
- Good understanding of ETL Concepts and Data Modelling in RDBMS vs non-relational database
- Knowledge of working on NoSQL technologies like Hadoop, MapR, Cassandra etc.
- Working with data visualization frameworks for web applications such as D3.js, HighCharts etc. would be an added advantage
- Candidates with exposure in payments or banking & financial services domain will be preferred
- Exposure in working in Agile environments
- Must be an individual contributor
- Engineering from premier institutes