Data Tech Lead

hace 3 semanas

Bogota, Colombia PayU A tiempo completo

**About PayU**

PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers.

As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day.

Thinking of becoming a PayUneer and you are curious to know more about us? Read more about the life in PayU here

**About the role**

Look continuously for strategies with smart dashboards, accurate reports, and real-time analytics, for our customers to be able to visualize their global payments and make more informed decisions, increasing as well their payments efficiency and success rates. These, being cloud oriented, and using the most up-to-date tech-stack to answer requirements - Druid, Kafka-Streams, Spark, Python, Airflow, Docker, Hive, Mesos, Kubernetes, Postgres, Redshift, Snowflake, Cassandra, NoSQL databases, S3, SQS - and always looking to stay ahead.

Design experiments— A/B test for putting into “Proof of Concept” systems reliability, performance, as well as designing good streamlines for delivering good solutions “on-the-fly”

**What you will do**
- Lead and mentor a small team of data engineers, training the team with new technologies to use
- Design and write data pipelines to ingest, enrich and consume our data
- Write Spark jobs to process streaming and batch data.
- Develop and write microservices in Node.Js, Python and Scala to serve our data to our customers
- Evaluate and deploy new technologies to expand our tech-stack and support our customers' requirements
- Make code review and prioritize the requirements for the team, understanding the business needs.
- Create and give support to Airflow DAGs.
- Give support to the current ETLs and design new strategies to improve these.
- Understand and improve various data structures and common methods in data transformation

**What do you need to succeed**
- Excellent English communication skills (verbal and written) - a must
- Hands on Experience with Kafka, Python, Java and Spark - a must
- Experience in Snowflake and with micro services architecture - an advantage
- Knowledge of Data Warehousing and ETL Tools like Airflow, Spark and Pentaho
- Experience with cloud platforms, in particular, Amazon Web Services
- Knowledge of algorithms and data structures

**About us**:
**Our Commitment To Building A Diverse And Inclusive Workforce**

As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities.

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