Data Engineer

Data Engineer

Job:

Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. Assembling large, complex sets of data that meet non-functional and functional business requirements

Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

Will support data scientists, product managers and analysts on data initiatives and will ensure optimal data delivery is consistent across projects.
Create and schedule data flow tasks in Python . Should be able to create automated data validation methods.
Queries and/or integrates data by using SQL/NoSQL/BigQuery, SQL-like, ELT or ETL skills tools and techniques.
Creates data models by delivering calculations, aggregations and derivations from input data.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies

Location: Spain

Duration: 12 month + ext

Language: English

Rate: 450 Eur/day

Skills:

• Strong Knowledge in Python and SQL/NoSQL. Knowledge to build complex database systems for businesses. To implement methods to improve data reliability and quality.
• Good knowledge of data integration/data pipeline creation practices in Python and Cloud Technologies like GCP/AWS. Should have experience in scheduling data flow tasks in any cloud connectors and different data storages, etc.
• Strong technical analytic s expertise. Good knowledge of data analytics architectures and standards, including data warehouses, master data management, ETL,ELT,OLTP and OLAP, data quality management, advanced analytics, BI, visualization and service execution rigor / discipline
• Ability to operate digitally and display a digital mind set .
• Good Understanding for Machine learning algorithms to solve complex problems

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