Data Engineer
hace 4 meses
**About us**:
Hakuna's passion for crafting game-changing digital products meets Cloud Geometry's expertise in architecting and integrating cloud-native systems.
Together, we're establishing a dynamic development center in Buenos Aires. Cloud Geometry's expertise in cloud services meets Hakuna's creative prowess, creating a powerhouse partnership. Get ready for groundbreaking digital solutions that redefine possibilities for startups and tech companies worldwide.
**What we’re looking for**:
We are seeking a highly skilled **Semi senior Databricks Developer** to join our team, which is focused on optimizing a Programmatic AdTech platform for one of the top US media companies. We serve millions of ads daily across platforms like Netflix, Hulu, YouTube, and dozens of other media channels. With today's AI and GenAI technologies, there are numerous opportunities to optimize traffic and create dynamic ads on the fly. This remote position is ideal for an experienced data and machine learning professional who excels in data analytics and thrives in a collaborative and innovative environment. You will be at the forefront of the GenAI revolution in the AdTech industry.
**Responsibilities**:
- Design, develop, and optimize data pipelines and workflows within the Databricks platform.
- Convert SQL scripts into Spark jobs and develop new Spark jobs.
- Build, optimize, and fine-tune Databricks workflows to improve performance and reliability.
- Work closely with data scientists and analysts to implement advanced analytics solutions that drive business insights.
- Ensure the integrity, accuracy, and security of data across all processing stages.
- Implement data ingestion from various sources into Databricks, ensuring data quality and reliability.
- Participate in daily Scrum ceremonies and collaborate with team members across Europe and the USA, with required online presence from 11 AM to 7 PM EST
**Requirements**:
- Excellent communication skills in English (C1) - Mandatory
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- 2+ years of experience in the IT industry.
- 1+ years of experience in data engineering roles.
- Strong knowledge of modern data solutions including SQL, NoSQL, Data Lakes, and Delta Lakes.
- At least 1 year of experience building data pipelines using Spark, Python, and PySpark.
- Proficient in the Databricks ecosystem.
- Experienced in designing and implementing complex, scalable data pipelines/ETL processes using Databricks.
- Skilled in cloud-based data storage and processing technologies, particularly AWS services such as S3, Step Functions, Lambda, and Airflow.
- Familiar with CI/CD practices, version control (Git), automated testing, and Agile environments.
- Experience with the Agile development process in a distributed engineering team.
- Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members.
- Experience working in US-led high-tech companies and startups.
**Nice to Have**
- DataBricks certifications
- AWS or Azure DevOps or SA certifications
- Knowledge of basic DevOps and MLOps principles
- Experience in working with Data Scientists and ML Developers
**Experience**:
- Spark with Databricks: 2 years (required)
**Language**:
- Inglés (required)
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