If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities:
Design, Build, and operate scalable infrastructure for optimal data extraction, transformation, and loading from a wide variety of data sources, utilizing SQL, cloud migration tools, and Big Data technologies.
Work with a variety of programming languages, systems, frameworks, and cloud technologies, including Python, DBT, Airflow, AWS, Linux, Spark, and more.
Collaborate with customers and internal stakeholders to resolve data-related technical issues and support their data infrastructure and business needs.
Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.
5+ years of hands-on experience in building scalable automatic data pipelines in a Big Data environment (several terabytes per day) preferably in the mobile apps market.
Proficiency in ELTs using SQL, DBT, and Python.
Experience in data visualization tools (Tableau/Looker/Mixpanel/Thoughtspot), cloud providers (AWS/GCP/Azure), orchestration tools (e.g, Airflow), Big Data frameworks (Spark), and Iceberg.
