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Lead Data Engineer
hace 2 meses
Lambda Executive is seeking a highly skilled Lead Data Engineer to join our team. As a key technical expert, you will be responsible for driving a strong vision for how data engineering can proactively create a positive impact on the business.
Main Responsibilities:- Provide leadership and management to a team of data engineers, managing processes and their flow of work.
- Act as a subject matter expert across different digital projects.
- Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers.
- Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
- Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
- Responsible for implementing best practices around systems integration, security, performance and data management.
- Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
- Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
- Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
- Develop and optimize procedures to productionalize data science models.
- Define and manage SLA's for data products and processes running in production.
- Prototype new approaches and build solutions at scale.
- Create and audit reusable packages or libraries.
- 6+ years of experience with software development, data engineering, or systems architecture.
- 6+ years of experience with Data Lake Infrastructure, Data Warehousing, and ETL / ELT pipelines.
- 6+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.
- 4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).
- Proven track record of leading, mentoring, hiring and scaling data teams.
- Experience in the following areas :
- Multi cloud services integration with on-premises technologies.
- Data profiling and data quality using tools like Apache Griffin, Deequ, and Great Expectations.
- MPP database technologies such as Redshift, Synapse or SnowFlake.
- Cloud infrastructure applications and containerized services like Kubernetes.
- Systems of data extraction, ingestion, and processing of large data sets.
- Version control systems like Github and deployment & CI tools.
- Azure Data Factory, Azure Databricks and Azure Machine learning tools.
- Working knowledge of agile development, including DevOps and DataOps concepts.
- Excellent communication skills, both verbal and written in English, along with the strong ability to influence senior level management and stakeholders.
- Strong change manager: comfortable with change, especially that which arises through company growth.
- Ability to understand and translate business requirements into data and technical requirements.
- High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.
- Employment contract or freelance mode possibility.
- Remote work model.
- Entrepreneurial environment in leading international company.
- Professional growth possibilities & learning opportunities.
- Diverse team from over 25 countries.
- Variety of benefits to support your physical, emotional and financial wellbeing.
- Free Friday afternoon & during the month of August.
- Relocation package & sponsorship to work in Spain if applicable.
