Description

You will lead the data engineering function, owning the architecture and delivery of scalable data platforms.

Responsibilities

• Define and implement data governance policies and best practices to ensure data quality and compliance.
• Design and oversee data architectures, including data lakes, warehouses, and data pipelines.
• Lead the development and optimization of ETL/ELT processes for efficient data ingestion and transformation.
• Partner with product and business teams to translate data needs into strategic technical solutions.
• Mentor and lead the team of data engineers and analysts.

Required Skills

• 5+ years of experience in data engineering or data management.
• Expertise in SQL, NoSQL databases, and big data technologies like Hadoop, Spark, or Kafka.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and associated data services.
• Strong proficiency in Python, Java, or Scala.
• Deep understanding of ETL/ELT pipelines and data warehousing (Snowflake, Redshift, BigQuery).
• Experience managing data governance, security, and regulatory compliance (e.g., GDPR, HIPAA).
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
• Strong analytical, problem-solving, and stakeholder management skills.

Key Skills

Education

Bachelor's or Master's degrees