Data & Analytics Systems Engineer

Responsibilities

• Design, build, and maintain robust data pipelines and analytics solutions to deliver high-quality data products.
• Leverage technologies including Google Cloud Platform (GCP), BigQuery, Databricks, and Python to provide actionable insights to business stakeholders.
• Ensure Data & Analytics systems and operations are effective, efficient, and scalable.
• Partner with cross-functional teams to optimize data architecture and analytics workflows.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or analytics system management.
• Proven experience with Google Cloud Platform (GCP), specifically BigQuery, Cloud Storage, and Cloud Functions.
• Proficiency in ETL/ELT tools such as Informatica, Airflow, or Dataproc.
• Hands-on experience with big data technologies like Databricks and Spark.
• Strong programming skills in Python, including experience with data manipulation libraries like Pandas and NumPy.
• Experience with data visualization tools, preferably Tableau.
• Excellent problem-solving and communication skills with the ability to work both independently and collaboratively.

Preferred Qualifications

• Familiarity with the Anaplan platform.

About the Company

Anaplan is a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform. Our customers include many of the Fortune 50, such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer. We champion diversity of thought and are committed to a winning culture driven by strategy, values, and disciplined execution.