Job Description

Job Title: Analytics Engineer - Snowplow

Location: Remote

Contract Duration: 4+ months

Start Date: ASAP

Responsibilities:

• Design, implement, and maintain scalable data pipelines using Snowplow to track and collect high-quality event data.
• Collaborate with data scientists, product teams, and stakeholders to ensure event tracking aligns with business objectives and data requirements.
• Perform data quality checks to ensure the integrity, reliability, and accuracy of event data collected via Snowplow.
• Develop data transformations, optimizations, and workflows to process event data and load it into analytics platforms (e.g., Redshift, Snowflake, BigQuery).
• Troubleshoot and resolve issues related to Snowplow tracking, event data processing, and data pipeline performance.
• Work with data visualization tools (e.g., Looker, Tableau) to ensure that event data is accessible and actionable for stakeholders.
• Provide recommendations for best practices in event tracking, data governance, and pipeline performance optimization.
• Monitor and ensure the performance and scalability of Snowplow data pipelines.

• Proven experience as an Analytics Engineer , Data Engineer , or similar role with strong expertise in Snowplow .
• Strong hands-on experience in implementing and maintaining Snowplow event tracking (collector, enrich, and storage components).
• Experience with GCP and BigQuery .
• Proficient in SQL , with the ability to query, transform, and optimize large datasets.
• Experience with data transformation tools (e.g., dbt, Apache Airflow) and data orchestration workflows.
• Familiarity with ETL/ELT processes and ensuring data quality across pipelines.
• Knowledge of data visualization platforms (e.g., Looker, Tableau) for creating actionable insights from event data.
• Strong problem-solving skills with the ability to debug and resolve technical issues in data pipelines.
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams.
• Familiarity with Agile methodologies is a plus.

• Experience with event-driven data architectures and integrating Snowplow with other analytics or data processing tools.
• Familiarity with streaming data or working with event-based systems at scale.
• Knowledge of Python or other programming languages commonly used in data engineering (e.g., Java, Scala).
• Experience with data governance and data privacy practices.

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