Senior Data Engineer - Reporting

Adyen

3 - 7 years

5 - 9 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

hive kubernetes data domain data validation scala pyspark data pipeline data architecture sql git spark software engineering hadoop big data reporting python pytest airflow elt data engineering reconciliation kafka data governance sqoop aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

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: Its highly desirable that youre 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.

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