Granica
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1 to 50 Employees · Mountain View, US
Hiring: Engineering
What employees say
+ Small team environment with opportunities to work on different parts of the system and take ownership of projects.
− Product direction and planning often change quickly, making it difficult for teams to focus on long-term goals. Many strategic decisions appear to come from a single leadership sou
More reviews on the company profile.
Job description
Overview
Responsibilities: • Design and develop scalable ETL/ELT pipelines.
Responsibilities
- Design and develop scalable ETL/ELT pipelines.
- Build and optimise distributed data processing jobs using Apache Spark (Scala).
- Develop and maintain data workflows on the AWS cloud platform.
- Implement data modelling, warehousing, and lake architecture.
- Ensure data quality, reliability, and performance optimisation.
- Work closely with analytics, product, and engineering teams.
- Monitor and troubleshoot production data systems.
Qualifications
- Strong hands-on experience in AWS (S3 EMR, Glue, Lambda, Redshift, Athena, etc. )
- Extensive experience in Apache Spark.
- Strong programming skills in Scala.
- Solid understanding of data structures and algorithms.
- Strong knowledge of SQL and data modelling.
- Knowledge of Kafka / Streaming systems.
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