Data Engineer

Are you ready to write your next chapter.
Make your mark at one of the biggest names in payments.
With proven technology, we process the largest volume of payments in the world, driving the global economy every day.
When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day.
What makes a WorldpayerIts simple: Think, Act, Win.
We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex.
Were dynamic, every Worldpayer is empowered to make the right decisions for their customers.
And were determined, always staying open winning and failing as one.
About the team: We are a part of WorldPay, who invented payment facilitation, enabling technology companies to provide integrated payment solutions, significantly expanding access to modern payment methods to SMBs, and rejuvenating end-user experience.
We are Payrix a modern platform that provides Payfac as a service with a full suite of payments and risk management services built for vertical SaaS companies.
With Payrix, SaaS providers can embed payments and financial services in their native experience and add a new revenue stream in a few weeks.
We have a strong product-market fit and a clear moat that has resulted in an exponential growth of 100% YoY and the trend will continue.
Were looking for a Data Engineer Chapter Lead to join our ever evolving Payrix team to help us unleash the potential of every business.
Are you ready to make your markThen you sound like a Worldpayer.
What Will You Be Doing.
Technical Leadership.
Provide expertise and guidance in big data technologies.
Extend and optimize our data lake: improve query performance and integrate more data sources.
Build ETL pipelines for our various data-driven services for our clients.
Build ETL pipelines and data materializations for internal data-driven reporting for historical analysis, risk assessment, projections, financial forecasting, etc Participate in the development and communication of data strategy and roadmaps across the technology organization to support product portfolio and business strategy.
Define high-level migration plans to address the gaps between the current and future state.
Lead the analysis of the technology environment to detect critical deficiencies and recommend improvement solutions.
Promote the reuse of data assets, including the management of the data catalog for reference.
Ensure that our data lake architecture and data catalog/dictionary are fully documented.
Help build user guides for writing efficient queries to utilize the data lake maximally.
Day-to-day governance for giving access to different parts of the data lake to different users after assessing their needs in coordination with infosec.
Ensure that all ETL code and configuration are properly maintained in the version control.
Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms.
Identify and improve parts of the platform to make it more robust and scalable.
Advise Payrixs leadership on key technology and product roadmap considerations.
Align our technical decisions with Payrixs broad strategic initiatives, while also advocating for needs specific to emerging new businesses.
Team Leadership.
Dotted line responsibility for a distributed data engineering team (both full-time and contractors) while remaining hands-on.
Collaborate with and support the business intelligence team.
Collaborate with and support the data science team.
Mentor data engineers and software engineers in data principles, patterns, processes, and practices.
Project Management.
Prioritize projects based on customer and internal needs in consultation with product management, engineering, operations, and finance departments.
Support teams as they deliver.
Support the needs of business intelligence, financial reporting, and data science teams.
Data Infrastructure.
Build, implement and support data infrastructure extending the existing one.
Maintain different data materializations to speed up reporting needs.
Ensure reliable operations of various CDC and ETL pipelines.
Define, track, and guarantee Service Level Objectives.
Manage large and complex data sets that meet functional and non-functional business requirements.
Watch over Data Lake's operating expenses and strive to reduce them.
Design and oversee implementation of operational infrastructure related to the data pipelines.
Technical Skills.
Desired Skills and Experience.
Programming Languages: Python, Java, Scala, C#, SQL.
Storage: HDFS, AWS S3.
Data Platforms: DataBricks, SnowFlake, RedShift.
Data Lakes: Apache Hudi, Delta Lake.
Relational Databases: Postgres, MySQL.
NoSQL Databases: DynamoDB, MongoDB.
Distributed Data Processing Engines: Apache Spark, Apache Flink, AWS EMR.
Query Engines: Apache Presto, AWS Athena.
Change Data Capture Solutions: Debezium, Qlik, Fivtran.
Business Intelligence: QuickSight, Tableau, DBT, Power BI.
Streaming: Kafka, RabbitMQ, ActiveMQ.
Data Governance: AWS LakeFormation.
Data Science and ML: NumPy, SciPy, Pandas, TensorFlow, PyTorch, SageMaker.
Storage Formats: Arrow, Parquet, AVRO.
Serverless Computing: AWS Lambda, Step Functions.
Other AWS Services: IAM, RAM, EC2.
Data Modeling & Architecture Patterns: Dimensional Modeling, Star Schema, Data Vault, Lake House Architecture.
Soft Skills.
Communication: Effectively communicate with both technical and non-technical stakeholders.
Clear explanations and cross-department collaboration.
Collaboration: Working closely with the mission-oriented product development teams where individual data engineers may be embedded.
Problem-solving: Having an eye for detail and the ability to solve complex problems efficiently.
Adaptability: Being adaptable to learn and integrate new tools and technologies as the tech landscape keeps evolving.
Critical Thinking: Analyzing situations, making informed decisions, and anticipating challenges.
Risk Management: Understanding risk factors related to data quality, security, and compliance.
Negotiation: Ability to advocate for data engineering needs and influence decision-making.
Management Skills.
Leadership: Guiding and motivating the team, setting goals, and ensuring alignment with organizational objectives.
Project Management: Managing projects, timelines, and resources effectively.
Strategic Thinking: Aligning data engineering efforts with broader business strategies.
Cost Management: Managing data engineering infrastructure costs efficiently.
Change Leadership: Guiding teams through organizational changes and technological shifts.
What You Bring.
BS degree in engineering computer science or related field.
15+ years of successful and applicable hands-on experience in data engineering including end-to-end design and implementation.
5+ years of proven track record of managing or leading data engineering teams in designing and implementing efficient data models for large-scale datasets.
5+ years of hands-on experience with AWS cloud platform.
Good understanding of network and data security architecture.
Good experience in data lake architecture, governance, and implementation.
Added Bonus If You Have.
Fintech or payments/banking product development experience.
Experience in working in a start-up environment.
Where youll own it.
Youll own it in our Bangalore/Pune/Indore hub.
With hubs in the heart of city centers and tech capitals, things move fast in APAC.
We pride ourselves on being an agile and dynamic collective, collaborating with different teams and offices across the globe.
Worldpay Perks What Well Bring For You.
We know its bigger than just your career.
Its your life, and your world.
Thats why we offer global benefits and programs to support you at every stage.
Heres a taste of what you can expect.
A competitive salary and benefits.
Time to support charities and give back to your community.
Parental leave policy.
Global recognition platform.
Virgin Pulse access.
Global employee assistance program.
What Makes a Worldpayer.
At Worldpay, we take our Values seriously, and we live them every day.
Think like a customer, Act like an owner, and Win as a team.
Curious.
Humble.
Creative.
We ask the right questions, listening and learning to get better every day.
We simplify the complex and were always looking to create a bigger impact for our colleagues and customers.
Empowered.
Accountable.
Dynamic.
We stay agile, using our initiative, taking calculated risks to progress.
Never standing still, never settling, we work at pace to achieve our goals.
We champion our ideas and stay flexible to make them happen.
We know that every action adds up.
Determined.
Inclusive.
Open.
Unlocking potential means working as one global community.
Our work spans borders, and we stay united by our purpose.
We collaborate, always encouraging others to perform at their best, welcoming new perspectives.
Does this sound like youThen you sound like a Worldpayer.
Apply now to write the next chapter in your career.
We cant wait to hear from you.
To find out more about working with us, find us on LinkedIn.
Privacy Statement.
Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients.
For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice.
Sourcing Model.
Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies.
Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
#pridepass.
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