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LEAD DATA ENGINEER

Descripción de la oferta de empleo

Description It’s you who can make an impact! Join our dynamic team as a Lead Data Engineer and shape tomorrow’s innovations! It is the dream job for those passionate about Data Analysis and crave a vibrant team atmosphere.
Apply yourself or drop us a line if you know someone who fits the role.
Let’s enjoy the engineering and vibrant international environment together! We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges.
With a global team of over highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role.
As a Lead Data Engineer, you’ll become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities Responsible for the building, deployment, and maintenance of mission critical analytics solutions that process data quickly at big data scales Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading across multiple data storages Owns one or more key components of the infrastructure and works to continually improve it, identifying gaps and improving the platform’s quality, robustness, maintainability, and speed Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Performs development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions Works directly with business analysts and data scientists to understand and support their use-cases Contribute in the Unit’s activities and community building, participate in conferences, provide excellence in exercise and best practices Help in sales activities, customer meetings and digital services Requirements 5+ years of experience coding in SQL, Java, Python, Scala, with solid CS fundamentals including data structure and algorithm design 3+ years contributing to production deployments of large backend data processing and analysis systems as a team lead 2+ years of hands-on implementation experience working with a combination of the following technologies.
Hadoop, Map Reduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL and NoSQL data warehouses such as Hbase and Cassandra 3+ years of experience in cloud data platforms (AWS, Azure, GCP) Experience with Kubernetes Knowledge of SQL and MPP databases (e.
.
Vertica, Netezza, Greenplum, Aster Data) Knowledge of professional software engineering best practices for the full software Knowledge of Data Warehousing, design, implementation and optimization Knowledge of Data Quality testing, automation and results visualization Knowledge of BI reports and dashboards design and implementation (PowerBI, Tableau) Knowledge of development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Experience participating in an Agile software development team, e.
.
SCRUM Experience designing, documenting, and defending designs for key components in large distributed computing systems A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects Demonstrated ability to learn new technologies quickly and independently Ability to handle multiple competing priorities in a fast-paced environment Undergraduate degree in Computer Science or Engineering from a top CS program required.
Masters preferred Experience with supporting data scientists and complex statistical usecases highly desirable Desirable Understanding of cloud infrastructure design and implementation Experience in data science and machine learning Experience in backend development and deployment Experience in CI/CD configuration Good knowledge of data analysis in enterprises Experience with Databricks, Snowflake What's in it for you Care.
your mental and physical health is our priority.
We ensure comprehensive company-paid medical insurance and 4 additional undocumented sick leave days Tailored education path.
boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment.
share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility.
Own your schedule – you are the one to decide when to start your working day.
Just don’t miss your regular team stand-up.
We are there to support your work-life balance and provide 23 vacation days & short Fridays Opportunities.
we value our specialists and always find the best options for them.
Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential Global impact.
work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment.
feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us.
Join a well-established company and a friendly team of professionals.
Our Delivery Center in Malaga is one of the leading IT hubs in Andalusia – it provides an exceptional mix of vibrant tech talent community, wide-open access to expertise advancement opportunities, hybrid/remote work setup & endless Mediterranean seashore summer.
Seize the perks of global opportunities, local atmosphere and industry-leading clients.
Be bold, not bored! Experiences of tomorrow.
Engineered together Interested already? We would love to get to know you! Submit your application.
Can’t wait to see you at Ciklum.
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Detalles de la oferta

Empresa
  • Sin especificar
Localidad
  • En toda España
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 21/11/2024
Fecha de expiración
  • 19/02/2025
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