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Description:
Design, develop, and maintain scalable data pipelines for the data platform
Standardize data ingestion and transformation processes for consistency and efficiency
Collaborate with data scientists, software engineers, and product managers for seamless data flow
Lead data architecture initiatives and promote best practices across the company
Implement data quality checks, governance policies, and security measures for data integrity
Facilitate cross-functional collaboration and communication for effective solutions
Requirements:
Bachelor’s or Master’s degree in Computer Science or related field
7-10 years of experience as a data engineer, preferably in marketing or SaaS industry
Proficiency in Python, Java, or Scala for data development
Strong SQL skills and experience with database management systems like PostgreSQL, MySQL
Experience with AWS, cloud-native data warehouses (Snowflake, Databricks), and event-streaming platforms (Kafka)
Familiarity with data pipeline tools like Apache Airflow, data transformation tools like dbt, and ETL tools
Problem-solving skills to design efficient data solutions for complex challenges
Excellent written and verbal communication skills for remote collaboration
Benefits:
Flexible work environment promoting work-life balance
Competitive salary and benefits package including healthcare, dental, vision, and life insurance
Retirement plan with company matching
Regular team-building events and a global, remote-first company culture