Sr. Consultant, Engineering Lead

You will be leading a engineering and software delivery projects focused on cloud and data transformation areas working closely with internal stakeholders clients and external vendors. 

The Engineering Lead (EL) will be reporting to the Solution Architect Director role in the VMS team. The EL will be leading a team of  software engineers QA analysts from vendors and manage the technical delivery and quality of your teams work . You will also manage estimation timelines for delivery and other management commitment as required to deliver initiatives.

You will be working alongside versatile and experienced engineers improving the overall data engineering quality of deliverables. This includes the following contributions: 

Provide technical guidance and mentorship to team members.  Work alongside  smart QA engineers who build and maintain a vast collection of automated testing scenarios.

Job Duties

• Lead all development activities to align with project goals and timelines.

• Provide inputs to management for development related activities

• Manage multiple stakeholders across technology areas internally and externally

• Review test cases to ensure comprehensive test coverage.

• Raise risks or concerns related to code quality and delivery delays.

• Understand defects including code data and environment issues in detail.

• Mentor and guide team members by providing technical guidance and support.

• Conduct thorough Technical & Functional code reviews to maintain quality standards.

• Exceptional structure and attention to detail and provide solutions.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications :

Basic Qualifications
Bachelors degree in Computer Science or other technical related field or
relevant commercial experience
8 years of total experience with minimum 2 years as tech lead or engineering
manager
Experience working with agile process and principles.
PySpark or equivalent hands on experience
Software Release Management and deployment experience
Working knowledge of J2EE framework RESTAPI framework
Experience designing event based and streaming solutions using Kafka will be
valued.
Strong SQL knowledge ability to understand and write complex queries.
Working in a DevOps environment or passion and willingness to work in this
way.
Proven delivery of welltested scalable faulttolerant and performant solutions.
Having worked in a collaborative environment where you are comfortable
reviewing code of your peers.

Preferred Qualifications:
Proven expertise in Spark with a strong preference for PySpark to handle
largescale data processing tasks efficiently.
Strong handson experience with cloud platforms preferably Microsoft Azure
demonstrating the ability to design implement and manage cloudbased data
solutions.
Indepth knowledge and practical experience with Azure data services such as
Azure Synapse Analytics Event Hub Azure Databricks and Azure Data Factory
(ADF).
Strong background in designing and implementing dimensional models for
data warehousing and analytics.
Familiarity with Data Vault 2.0 methodology for modeling ETL and data
warehousing showcasing the ability to work within a hybrid data architecture.
Exceptional analytical skills to solve complex data problems and provide
innovative solutions.
Preferred experience with DevOps practices and Continuous
Integration/Continuous Deployment (CI/CD) pipelines to ensure streamlined
and automated deployment processes.
Certifications such as DP203: Data Engineering on Microsoft Azure and
Databricks Certified Associate Developer for Apache Spark or equivalent.
Genuinely interested in intersection of cloud technology and payments
domain. Desire to become a subject matter expert.
Passionate about growing others while growing yourself. An interest for
continuous improvement and helping engineers to understand the big picture.
Pragmatism in decision making and ability to get buyin for ideas and getting
them done.
Comfortable working with external providers and senior internal stakeholders.

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.

Remote Work :

No

Employment Type :

Fulltime