Senior Data Engineer

4 tygodni temu

Warsaw, Polska VISA Pełny etat

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description The Sr. Data Engineer (Hadoop Development) within the Sales Analytics Delivery team will be responsible for designing, developing and implementing Data integration and Analytics solutions on Hadoop and using BI tools, Data mining and/or Machine learning provide insights on the data. This position requires close collaboration with business partners to understand their business goals, understand requirements, design, develop and implement Data Analytics solutions following SDLC and agile methodologies.
Ideal candidate for this position will have a minimum of five years of experience in development and delivery of Analytics projects and three years development experience on Hadoop.

Responsibilities:
Participate in technology project delivery activities such as gathering Business requirements, conceptual approach, design, development, test case preparation, unit/integration test execution, support process documentation
Develop the source to target mapping documents and ETL code to load data from source to target systems
Develop workflows and ETL using Hive scripts, Spark, Airflow, NiFi, Sqoop, Oozie and other utilities on Hadoop
Build analytical applications using Hadoop eco system using packaged or open source technologies
Partner with IT groups such as CIT, Engineering, Product, Security, and Infrastructure on project delivery activities
Provide insights from data and present to IT and non-technical users to improve operations and productivity
Unit test data loads and write scripts for data validation
Support QA, UAT and performance testing phases of development cycle and implement DevOps principles from development to deployment to production
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications Bachelor’s Degree in Computer Science or related discipline
Proven experience in Hadoop development and data integration on Hadoop is required, preferably Hive, Spark ,Presto, Airflow, Sqoop, NiFi etc.
Two Years of experience in BI/ Analytics Tools – Power BI or Tableau or any BI tools
Experience in RDBMS (Oracle and SQLServer) is required and knowledge of emerging technologies (NoSQL/Graph Database(neo4j)/Time Series) nice to have
Experience in writing complex SQL and Hive QL queries is required
Experience in Python, Shell/ Perl scripting, scheduling and version control, CI/CD technologies is required
Experience in real time data ingestion using Kafka/Spark Streaming
Experience in Advanced Analytics, Machine learning and data mining is nice to have.
Experience in at least one ETL technology is required – Pentaho, Talend, Informatica
Strong follow-through, problem identification, analysis and problem solving skills
Demonstrated ability to learn new Information technologies and apply quickly
Exceptional communication and customer facing skills, able to interact effectively with diverse groups of global stakeholders, both technical and business users
Experience in Payment Processing, CRM (Salesforce/Microsoft Dynamics), Genesys Call Center domain are nice to have

Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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