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Adyen

Senior Data Engineer - Reporting

Posted 3 Hours Ago
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Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Easy Apply
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Senior level
The Senior Data Engineer will develop data pipelines, optimize performance, and ensure data quality for payment processing. The role involves collaboration with stakeholders to create effective solutions and maintain robust reporting processes.
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This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Senior Data Engineer - Reporting

We are looking for a Senior Data Engineer to join the Payment Engine Data team in Bengaluru, our newest Adyen office. The main goal of the Payment Engine Data (PED) team is to provide insightful data and solutions for processing payments using all of Adyen's payment options. These consist of various data pipelines between various systems, dashboards offering insights into payment processing, internal and external reporting, additional data products, and infrastructure.
The ideal candidate is able to understand the business context and relate it to the underlying data requirements. You should also excel at building top-notch data pipelines on our big data platform. You'll also work in creating and maintaining robust reporting solutions that provide concise, reliable, and trustworthy intelligence to our customers.

What you’ll do

  • Collaborative Solution Development- Engage with a diverse range of stakeholders, including analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions.
  • State-of-the-Art Pipelines and Architecture- Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability. Design scalable architectures. 
  • Champion Data Best Practices- Proactively establish and advocate for best practices in performance, code quality, data validation, data governance, and discoverability across Adyen through mentoring, training, and knowledge sharing.
  • High Quality Data and Code- Ensure data is accurate, complete, reliable, relevant, and timely. Implement rigorous testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest.
  • Performance Optimization- Identify and resolve performance bottlenecks in data pipelines and systems. Optimize query performance and resource utilization to meet SLAs and performance requirements, using technologies such as caching, indexing, partitioning, and other Spark optimizations.

Who you are

  • Experienced in Big Data: You have solid experience in the data domain working towards building robust and scalable data environments.
  • Data & Engineering practices: You possess a high-level understanding of both Software and Data Engineering practices.
  • Technical Super Star: Highly proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, K8’s, Git, S3. Looker is a plus. 
  • Reporting & Reconciliation domain: It's highly desirable that you're someone who worked in the Reporting & Reconciliation domain, supporting customers and providing them needed information for accounting processes.
  • Clear Communicator: Skilled at articulating complex data-related concepts and outcomes to a diverse range of stakeholders. 
  • Self-starter: Capable of independently recognizing opportunities, devising solutions, leading, prioritizing and owning projects. 
  • Innovator: You have an experimental mindset with a ‘launch fast and iterate’ mentality.
  • Data Culture Champion: Experienced in fostering a data-centric culture within large, technical organizations and setting standards for excellence and continuous improvement. 

Data positions at Adyen:

We know companies handle different definitions for their data-related positions, this is for instance dependent on the size of a company. We categorized and defined all our positions. Have a look at this blogpost to find out! 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Bengaluru office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Top Skills

Airflow
Git
Hadoop
K8'S
Kafka
Looker
Pyspark
Python
S3
Spark
SQL

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