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.

Requirements:

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.

Preferred Qualifications:

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.

Job Tags

Contract work, Immediate start, Remote job,

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