Snowflake

Product Management

SeniorDataEngineerProduct

$168–242k Menlo Park, California, United States FULL TIME
The Brief

“Senior Data Engineer - Product at Snowflake. Skills: Snowflake, Python, SQL, Data Pipelines. Design data pipelines. Develop data pipelines”

What You'll Achieve.

accelerate their work; improve data quality; ensure consistency across pipelines; ensure consistency across dashboards; shape the future of our data ecosystem

Industry & Context.

Product Management
Problems you'll solve

problem-solving skills

Eligibility Requirements

follow confidentiality and security standards, abide by data security plan, keep customer information secure and confidential

What They're Looking For.

Must Have

Bachelor’s degree in Computer Science, hands-on experience with Snowflake, data modeling, ETL/ELT development, performance tuning, Advanced proficiency in Python, scripting, automating data workflows, experience working with Spark, building Streamlit applications, command of SQL, Familiarity with cloud platforms, AWS, Azure, GCP, S3, Redshift, BigQuery, problem-solving skills, communication skills

Nice to Have

Master’s degree in Computer Science, understanding of data warehousing principles, architecture, best practices, Experience working within Agile development frameworks

What You'll Do.

Design data pipelines

Develop data pipelines

Maintain data pipelines

Own cost optimization

Manage cost optimization

Optimize pipelines performance

Optimize pipelines reliability

Optimize pipelines efficiency

Build reporting platforms

Maintain reporting platforms

Deliver data solutions

Implement data governance

Implement security best practices

Implement access control policies

Develop data quality checks

Enforce data quality checks

Develop SLA monitoring

Enforce SLA monitoring

Develop dependency tracking

Enforce dependency tracking

Utilize version control systems

Manage deployment workflows

Troubleshoot data issues

How You'll Work.

Team & Collaboration

partner closely with product; partner closely with data scientists; Collaborate with cross-functional teams; part of a collaborative team

Communication Scope

communication skills

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