We are looking for an experienced Senior Data Engineer to join our Data team.
In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
Design and develop high-performance data pipelines and ETL processes to support diverse business needs.
Work closely with business intelligence, sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
Continuously improve our data analytics platforms, optimizing system performance while ensuring a robust and reliable data infrastructure.
Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data-driven insights.
Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data-related issues efficiently.
In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
Design and develop high-performance data pipelines and ETL processes to support diverse business needs.
Work closely with business intelligence, sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
Continuously improve our data analytics platforms, optimizing system performance while ensuring a robust and reliable data infrastructure.
Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data-driven insights.
Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data-related issues efficiently.
Requirements:
B.Sc. in computer science/information systems engineering
5+ years of experience in data engineering (Preferably from a startup company)
Familiarity with data engineering tech stack, including ETL tools (Airflow, Spark, Flink, Kafka, Pubsub).
Strong SQL expertise, working with various databases (relational and NoSQL) such as MySQL, FireStore, Redis, and ElasticSearch.
Experience with cloud-based data warehouse solutions like BigQuery, Snowflake, and Oracle, and proficiency in working with public clouds (AWS/GCP).
Coding experience with Python
Experience with dashboard tools.
Ability to communicate ideas and analyze results effectively, both verbally and in writing.
B.Sc. in computer science/information systems engineering
5+ years of experience in data engineering (Preferably from a startup company)
Familiarity with data engineering tech stack, including ETL tools (Airflow, Spark, Flink, Kafka, Pubsub).
Strong SQL expertise, working with various databases (relational and NoSQL) such as MySQL, FireStore, Redis, and ElasticSearch.
Experience with cloud-based data warehouse solutions like BigQuery, Snowflake, and Oracle, and proficiency in working with public clouds (AWS/GCP).
Coding experience with Python
Experience with dashboard tools.
Ability to communicate ideas and analyze results effectively, both verbally and in writing.
This position is open to all candidates.
