Data Engineer, Data Lake
Data Engineer, Data Lake
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Salary Not Disclosed
1 Vacancy
Job Description
Summary
Data Teams play a central role at Pismo providing data-intensive analytics for internal product teams while also processing and delivering TBs of high-quality data mainly in streaming form needed by our partners to produce outstanding products downstream.
Operating mainly in Brazil the data team recently extended its scope to accelerate the platformization of data services globally with representatives in Europe and soon in the US and Asia. We are looking for talented engineers who share our culture of trust mutual responsibility and technological excellence to be part of this unprecedented and diverse global data organization.
What youll do
- Serve as a senior technical contributor on Pismos data stack leading the design and development of robust scalable data pipelines using modern Big Data frameworks.
- Drive continuous improvement in platform performance reliability and cost-effectiveness proactively identifying opportunities for innovation.
- Take ownership of production operations and monitoring (file-based systems) ensuring adherence to SLAs and applying best practices for observability and resilience.
- Collaborate with cross-functional teams to architect build and evolve high-complexity data features reducing technical debt and championing engineering excellence.
- Provide mentorship to peers through code reviews feedback and support fostering an environment of knowledge sharing and professional development.
- Ensure that data pipelines follow the best testing monitoring observability and security practices.
- Participate in on-call rotations promptly addressing and resolving production incidents while proactively implementing preventative measures.
- Build and optimize ETL/ELT processes to handle large-scale data leveraging advanced data processing and distributed systems techniques.
- Maintain rigorous data governance and platform standards working closely with data stakeholders to ensure consistent high-quality data assets.
- Conduct root-cause analyses for critical issues challenging and refining team processes to enhance efficiency and reliability.
- Influence multiple teams by promoting a culture of technical excellence forward-thinking solutions and continuous improvement.
This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.
Qualifications :
Basic Qualifications
- 2 years of relevant work experience and a Bachelors degree OR 5 years of relevant work experience
- B1 English or Above (Intermediate)
- Strong experience as a Data Engineer
- Good experience with AWS services (e.g. S3 DMS Lambda Kinesis and IAM)
- Apache Spark experience or similar tools (e.g. Flink Hadoop)
- Python experience
- Architectural design experience
- Git/GitHub experience
- Monitoring tools: Grafana and CloudWatch (logs/tracing/spans/monitoring/alerts/dashboards)
- SQL experience
Desirable Qualifications
- CI/CD experience
- Airflow experience
- CDC (Change data capture) experience
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 :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
