Senior Data Engineer
hace 3 semanas
Inetum is an agile IT services company that provides digital services and solutions, and a global group that helps companies and institutions to get the most out of digital flow.
In a context of perpetual movement, where needs and usages are constantly being reinvented, the Inetum group is committed to all these players to innovate, continue to adapt, and stay ahead.
With its multi-expert profile, Inetum offers its clients a unique combination of proximity, a breakdown by sector, and state of the art solutions.
We are looking for a DATA ENGINEER to run projects and maintenance activities in Madrid team.ROLES / RESPONSIBILITIES:
- Develop data pipelines with Spark and Scala to ingest and transform data from different sources (Kafka topics, APIs, files) into HDFS, IBM Cloud Storage, Parquet or SQL/NOSQL databases.
- Manage big data storage solutions in the platform (HDFS, IBM Cloud Storage, Parquet).
- Implementation of schemas and queries in SQL/NOSQL databases like postgres, MongoDB or Oracle.
- Develop and configure scheduling of data pipelines with a combination of shell scripting and Autosys, Oozie or AirFlow.
- Configure Dremio Data Virtualization to interface with Parquet or as a way to expose the data in the different data products.
- Configure Dataiku pipelines as a data preparation tool for loading and transformation of data from our big data platform into specific datamarts for data or business products.
- Provide N3 level support to end users
IT TOOLS:
- Spark and Scala as legacy data pipeline development language.
- SparkaaS and Scala as data pipeline development platform.
- Experience in the design and development of streaming procesess using Spark Streaming, Spart Structure Streaming, and Apache Kafka.
- Management of legacy big data storage solutions (HDFS and Parquet).
- Management of big data storage solutions (IBM Cloud Object Storage and Parquet).
- Implementation of SQL/NO SQL database schemas and queries (MongoDB, Oracle, Postgres).
- Ksh, Autosys and Oozie as legacy data pipeline scheduling solution.
- Ksh and Airflow as data pipelie scheduling solution.
- Dremio as data virtualization tool.
- Dataiku as data preparation tool.
- Migration from SAS to Spark as a bonus
SKILLS:
- Knowledge of banking industry and processes.
- Business / IT Relationship
BEHAVIOURAL
SKILLS:
- Ability to understand, explain and support change.
- Ability to Deliver / Results Driven.
- Ability to collaborate / Teamwork.
- Ability to manage a project as a bonus.
- Knowledge of Spark SQL and Spark MLib as bonus.
- Experience with tools monitoring and management of logs (Prometheus, Grafana, ELK Stack, ...) as bonus.
TRANSVERSAL
SKILLS:
- Agile
LANGUAGES:
- English C1
- French as a bonus Join us @Inetum. #Weareinetum
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