Senior Data Engineer

hace 3 semanas

Barcelona, España Fluidra Spain A tiempo completo

Senior Data Engineer

Fluidra, a multinational group listed on the Spanish Stock Exchange, is the global leader in the pool and wellness industry. Founded in 1969, Fluidra has long-standing experience in developing innovative products and services in the global residential and commercial pool market.
Fluidra has a clear mission: to create the perfect pool and wellness experience responsibly.
We are looking for a Sernior Data Engineer to join our Data Team in Sant Cugat del Valles.

**Purpose**:
**Main Tasks**:
You will be an asset in our team bringing deep technical skills and capabilities to become a key part of projects defining the data journey in Shell, keen to engage, network and innovate in collaboration with companywide teams..
- Collaborate with the data and analytics team to develop and maintain a data pipeline and infrastructure using a range of different storage technologies that enables optimal extraction, transformation and loading of data from multiple data sources.
- Develop and maintain scalable data platforms through various integration patterns, including APIs and quality frameworks that support continual increases in data volume and complexity.
- Assemble large, complex data sets that meet both functional and non-functional business requirements.
- Support the development of processes and standards for data mining, data modelling and data protection.
- Build analytic tools that identify patterns and trends to deliver insights that can inform effective business decisions
- Design and implement continuous process improvements for automating manual processes and optimizing data delivery.
- Assess and report on the unique data needs of key stakeholders and troubleshoot any data-related technical issues through to resolution.
- Work with the broader data and analytics team to improve data models that support business intelligence tools, improve data accessibility and foster data-driven decision making.
- Ensure traceability of requirements from Data through testing and scope changes, to training and transition.

**Knowledge Preferred**
- Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Highly Experienced in building and optimizing complex queries. Good with manipulating, processing and extracting value from large, disconnected datasets.
- Proven Experience in working any one of the data engineering technologies and Snowflake, Informatica, Azure Databricks, Azure SQL, Synapse. Your experience in handling big data sets and big data technologies will be an asset.
- Proven champion with in-depth knowledge of any one of the scripting languages: Python, SQL, Spark,.

**Skills Preferred**
- Advanced written, verbal, and analytic skills, and demonstrated ability to influence and facilitate sustained change. Ability to convey information clearly and concisely to all levels of staff and management about programs, services, best practices, strategies, and organizational mission and values.
- Proven ability to focus on priorities, strategies, and vision.
- Very Good understanding in Data Foundation initiatives, like Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
- Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools.
- Coordinate the change management process, incident management and problem management process.
- Ensure traceability of requirements from Data through testing and scope changes, to training and transition.
- Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery
- Bachelor’s in a Science, Technology, Engineering, Mathematics or Computer Science discipline with 7 + Years of experience in enterprise-wide data governance, policies, procedures, and implementation
- Aptitude for working with data, interpreting results, business intelligence and analytic best practices

**Specific Knowledge**:

- Programming & Scripting: Python, SQL, Terraform
- Demonstrated experience in modern enterprise data platforms, reporting, analytics and data management tools such as AWS Data-related services MS SQL Services, Databricks, Snowflake, Informatica
- Database technologies such as Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
- Data pipeline and workflow management tools: Airflow, etc.
- AWS cloud services: S3, Lambda, Glue and Kinesis and API Gateway
- Experienced in traditional data warehousing and ELT tools such as Streamsets, DBT
- Good understanding of Data Architecture approaches
- Experience in designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, Spark Streaming, Streamsets and similar

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