Welcome to RemoteYeah 2.0! Find out more about the new version
here
.
remote
yeah
Remote developer jobs
Remote jobs
Remote companies
Log in
Sign up
Post a job
Remote jobs
Remote companies
Log in
Sign up
Post a job
Homepage
/
Remote Data Engineer jobs
/
Remote Data Engineer Semi Senior
Remote
Data Engineer Semi Senior
at
2brains
Posted 1 month ago
|
β
0 applied
Description:
2Brains is a consulting firm with over 350 professionals that integrates creativity, technology, business, and brands.
The company has extensive experience in the Latin American market, working with recognized brands to formulate and implement their strategies.
The Data Engineer will participate in the design and development of new management information models and maintain existing ones.
The role involves supporting advanced analytics initiatives by exploring internal and external information models (Data Discovery).
The Data Engineer will obtain historical data from multiple internal information sources to support the team's advanced analytics initiatives.
Requirements:
The candidate must have experience in developing data pipelines for extraction, transformation, and loading (ETL/ELT).
Proficiency in orchestration tools such as Apache Airflow or Luigi is required.
The role requires automation and programming of complex data flows.
Management of relational databases (SQL) is essential.
Experience with NoSQL databases (MongoDB, Cassandra, etc.) is necessary.
Familiarity with Cloud Databases (BigQuery, Redshift, Snowflake, etc.) is required.
The candidate should have experience in designing and building data warehouses, data lakes, and lakehouses.
Data modeling for analytical and operational environments is a must.
Knowledge of distributed processing tools and technologies (e.g., Spark, Hadoop, Kafka) is required.
Experience with cloud data services: Microsoft Azure, Google Cloud Platform, or AWS is necessary.
Knowledge in integrating data flows with machine learning models is desirable.
The candidate should have experience with DevOps practices for automation, CI/CD, and monitoring in data pipelines.
A minimum of 4 years of experience in Data Engineering roles is required.
Certifications such as Professional Data Engineer in Microsoft Azure or Google Cloud Platform are necessary.
Experience in developing data analysis or Business Intelligence (BI) solutions is desirable.
Benefits:
The opportunity to work with a high-performance team where learning and development are prioritized.
Access to major clients and challenging projects.
Continuous learning and growth opportunities, including meetups, training, and cultural activities.
A flexible and dynamic work environment.
A day off for your birthday.
Four weeks of vacation per year.
Opportunities for specialization courses.
Space for internal talks and discussions.