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Senior Technical Lead, Data Engineering
hace 2 meses
At Endava, our data team is a hub of expertise in engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. We transform raw data into actionable insights, build robust data infrastructures, and enable data-driven decision-making and innovation through advanced analytics and predictive modeling.
As a Data Consultant at Endava, you will focus on the technical implementation of various data projects, from designing and building DW solutions, to developing end-to-end migration frameworks or building data reporting systems.
Responsibilities:
- Lead the development of solution architectures.
- Ensure the availability and use of appropriate tools and methods.
- Prepare technical plans and coordinate resources within change programs.
- Advise on technical aspects of solution development and ensure correct application of strategies, policies, standards, and practices, including security.
- Develop and implement master data management processes, including classification, security, quality, ethics, retrieval, and retention.
- Create data management structures and metadata for consistent information retrieval, analysis, and interpretation.
- Plan effective data storage, sharing, and publishing within the organization.
- Provide expert guidance on database and data warehouse architectures, software, and facilities.
- Specialize in DBMS and data warehouse design.
- Ensure database design supports performance and availability, and data warehouse design meets business intelligence and analytics needs.
- Oversee all software development stages, planning and driving construction activities.
- Adopt suitable methods and techniques, monitor adherence to standards, including security, and contribute to organizational policies and guidelines.
Qualifications:
- 5+ years of experience in systems architecture for large-scale data warehouse platforms and applications.
- Strong data modeling skills (normalized and multidimensional).
- Proficient in data analysis and SQL, with strong SQL scripting experience.
- Experience implementing ELT processes and building data pipelines.
- Proficiency with data tools such as BigQuery, Redshift, Snowflake, and similar.
- Experience with cloud data technologies and tools.
- Familiarity with distributed computing environments.
- Experience with Spark, Hadoop, Apache Beam, Dataproc, or similar tools.
- Knowledge of real-time and batch processing.
- Proficiency in programming languages like Python, Scala, or similar.
- Experience with serverless processing.
- Familiarity with AWS technologies.
- Advanced English level.
- Experience leading teams.
Additional Information
