Big Data Team Lead - Datalake
Big Data Team Lead - Datalake (ODS)
Country Spain
Open Digital Services is a tech company with a unique culture dedicated to creating innovative products for Santander Group Affiliates. Open Digital Services is part of the Retail Commercial Division of Santander Group one of the worlds largest financial institutions and the Eurozones leader were committed to being the best Digital Bank with Branches in the industry.
Our mission at ODS is to design and support an advanced digital and omnichannel platform ensuring the best customer experience using cutting-edge technology. Openbank our flagship partner is where we develop our most advanced concepts. Be part of our Best-in-Class tech team and help us create unique value for our customers!
Join us to tackle exciting tech challenges in an agile environment benefiting from learning growth and local and international career opportunities in a modern diverse setting.
Mission and responsibilities
We are seeking a Team Leader with extensive technical knowledge and management skills to lead technical projects in the Big Data domain. The ideal candidate must be proficient in Spark Scala AWS and the entire Big Data ecosystem. Additionally they should have strong management abilities to lead teams resolve issues and execute end-to-end data projects.
The main tasks of this position will be the following
* Design and implement production big data environments using modern technologies.
* Build validate and optimize large-scale big data solutions in heterogeneous data environments.
* Develop and manage ETLs in batch (Spark and Scala) and streaming (Apache Flink).
* Lead technical Big Data projects ensuring successful delivery of solutions.
* Resolve technical issues for the team and provide expert guidance.
* Implement the ODS data lake across various entities within the group.
* Collaborate with other leaders and teams to align project objectives with company goals.
To be successful in the role you must have
* At least 6 years of experience working with big data - Spark is a must - Hadoop Hive and/or Kafka would be a plus.
* Proficiency in Spark Scala and AWS.
* Previous experience in leading technical teams.
* Strong management skills and the ability to solve complex problems.
* Experience in implementing end-to-end data solutions.
* Excellent communication skills and the ability to work in a collaborative environment.
* Experience with different database structures including SQL (Postgres MySQL) and NOSQL (DynamoDB DocumentDB Redis Elasticsearch).
* Experience and expertise across data integration and data management with high data volumes.
* Experience with Cloud ecosystems AWS ecosystem (EMR EC2 IAM GLUE ATHENA S3 CloudFormation LakeFormation Redshift DynamoDB RDS ECS ECR) would be a great plus!
* Professional working proficiency in English and Spanish is a must.
Nice to have
* Experience working in agile continuous integration/DevOps paradigm and tool set (Git Jenkins Sonar Nexus Jira and Splunk).
* Bachelors Degree in Computer Science Information Systems Mathematics or other STEM and related fields or equivalent work experience.
* Experience with data warehousing apache iceberg and visualisation tools.
* Experience with NRT applications Apache Flink spark streaming.
What do we offer?
- Joining a dynamic and agile company undergoing international expansion.
- Working in start-up mode with the support of the Santander Group.
- Competitive remuneration and attractive benefits package.
- Possibility of growth within the company and the Group.
- Collaborating on international projects in different countries.
- Excellent work environment social clubs and frequent events.
Would you like to grow with us? Join our team!
ODS is an equal opportunity employer. All applicants will be considered as equal without paying attention to gender identity sexual orientation ethnicity religion age political orientation union membership nor disability status.
We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build.
Spark, Scala, AWS