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Senior Data Engineer with Python Expertise
hace 2 meses
Endava is seeking a highly skilled Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for developing and implementing data pipelines, collaborating with data architects, and ensuring data quality and integrity.
Responsibilities:- Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.
- Discuss with stakeholders from other teams to better understand how data flows are used within the existing environment.
- Propose solutions for cloud-based architecture and deployment flow.
- Design and build processes, data transformation, and metadata to meet business requirements and platform needs.
- Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.
- Develop, maintain, test, and evaluate big data solutions.
- Focus on production status and data quality of the data environment.
- Pioneer initiatives around data quality, integrity, and security.
- +5 years of experience in Data Engineering.
- Proficiency in Apache Spark.
- Proficiency in Python.
- Some experience leading IT projects and stakeholder management.
- Experience implementing ETL/ELT process and Data pipelines.
- Experience with Snowflake.
- Strong SQL scripting experience.
- Background and experience with cloud data technologies and tools.
- Familiar with data tools and technologies like:
- Spark, Hadoop, Apache beam, Dataproc or similar.
- BigQuery, Redshift, or other Data warehouse tools.
- Real-time pipelines with Kinesis or Kafka.
- Batch processing.
- Serverless processing.
- Strong analytic skills related to working with structured and unstructured data sensibilities.
Endava offers a range of benefits to support the well-being and career development of our employees, including:
- Competitive salary package.
- Share plan.
- Company performance bonuses.
- Value-based recognition awards.
- Referral bonus.
- Career coaching.
- Global career opportunities.
- Non-linear career paths.
- Internal development programmes for management and technical leadership.
- Complex projects.
- Rotations.
- Internal tech communities.
- Training.
- Certifications.
- Coaching.
- Online learning platforms subscriptions.
- Pass-it-on sessions.
- Workshops.
- Conferences.
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