SENIOR DATA ENGINEER
Descripción de la oferta de empleo
And people are our why.
For over two decades, we have been harnessing technology to drive meaningful change.
y combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
rom prototype to real-world impact - be part of a global shift by doing work that matters.
ob DescriptionOur data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science.
This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
s a Senior Data Engineer at Endava you will ensure data availability, reliability, and quality to support business analytics, reporting, and decision-making.
The ideal candidate will have strong experience in data pipeline architecture, data warehousing, and a solid understanding of best practices for data management and integration.
esponsibilities.
ork closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.
iscuss with the stakeholders from other teams to better understand how data flows are used within the existing environment.
ropose solutions for the cloud-based architecture and deployment flow.
esign and build processes, data transformation, and metadata to meet business requirements and platform needs.
esign and propose solutions for the Relational and Dimensional Model based on platform capabilities.
evelop, maintain, test, and evaluate big data solutions.
ocus on production status and data quality of the data environment.
ioneer initiatives around data quality, integrity, and security.
ualifications+5 years of experience in Data Engineering.
roficiency in SQL and experience with relational databases (e.
., MySQL, PostgreSQL).
xperience with ETL tools (e.
., Apache NiFi, Airflow, Informatica) and data integration processes.
trong programming skills in Python, Java, or Scala.
xperience with big data technologies (e.
., Hadoop, Spark, Kafka).
xperience with cloud platforms (e.
., AWS, Google Cloud, Azure) and their data services.
ome experience leading IT projects and stakeholder management.
xperience implementing ETL/ELT process and Data pipelines.
xperience with Snowflake.
igQuery, Redshift, or other Data warehouse tools.
erverless processing.
trong analytic skills related to working with structured and unstructured data sensibilities
Detalles de la oferta
- Sin especificar
- 31/12/2024
- 31/03/2025
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