Endava
Digital Strategy • Continuous Delivery & DevOps • Digital Execution • Applications Management • UX/Creative Services
Senior Data Engineer, Python
November 10
Endava
Digital Strategy • Continuous Delivery & DevOps • Digital Execution • Applications Management • UX/Creative Services
Description
• Develop and implement data pipelines • Collaborate with data architects • Ensure data quality and integrity • Support data migration projects • Contribute to agile development processes • Work closely with Data Analyst/Data Scientist • Discuss with stakeholders from other teams • Propose solutions for cloud-based architecture • Design and build processes, data transformation, and metadata • 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
Requirements
• +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
Benefits
• 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 • Hybrid work and flexible working hours • Employee assistance programme • Global internal wellbeing programme • Access to wellbeing apps • Global internal tech communities • Hobby clubs and interest groups • Inclusion and diversity programmes • Events and celebrations
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