Data Engineer - Sr. Consultant level (8 - 12 Years) at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 May, 26

Salary

0.0

Posted On

09 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Hadoop, Hive, Spark, Scala, Python, MS SQL, Kafka, Power BI, ETL, Data Governance, Data Security, Data Lake, Continuous Integration, Data Warehousing, Java, NoSQL

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description We value creative and driven individuals who love to own their products, and design and implement solutions that create a seamless experience for consumers and clients. Our Data engineers work across the stack, and are experts in building data driven business solutions using technologies such as Hadoop, Hive, Spark, Scala, Python, MS SQL, Kafka & Power BI. As we embark on the journey to build a Data Lake, we are looking for a Senior Consultant - Data Engineer who can drive architecture, design and development activities. The role involves extensive hands-on activities. Here are key job responsibilities – Responsible for the architecture, design and development Work on development of new products iteratively by building quick POCs and converting ideas into real products Develop workflows and ETL/ELT code using Hive scripts, Spark and other utilities on Hadoop. Build analytical applications using Hadoop eco system using packaged or open source technologies Build resilient data pipelines for reporting and data science/ML use cases Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology Have a passion for delivering zero defect code and be responsible for ensuring the team's deliverables meet or exceed the prescribed defect SLA Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Perform other tasks on R&D, data governance, data security, system infrastructure, and other cross team functions, on an as-needed basis This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications 9+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications Masters or Bachelor degree in Computer science or related fields required. Minimum of 9 years of experience in building data driven business solutions and solving data problems Minimum of 4 years of experience in building large-scale data solutions using open source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Hive, Kafka Minimum of 4 years of hands-on expertise with Java or Scala or Python Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MS SQL, MySQL and NoSQL, data warehouses such as HBase Experience with Continuous Integration tools such as Jenkins, Artifactory etc desirable Experience with data visualization and business intelligence tools like Power BI is a plus Experience with Databricks,clickkhouse or Microsoft Fabric is advantageous 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. Job Family Group: Technology and Operations

Responsibilities

The role involves architecture, design, and development of data solutions, including building data pipelines and analytical applications. The Data Engineer will also interact with stakeholders to ensure high-quality product delivery.