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Data Engineer

hace 2 meses

Guadalajara, Jalisco, México Jumpcloud A tiempo completo
About the Role

We're seeking a skilled Data Engineer to join our Enterprise Data Operations team at JumpCloud. As a key member of our team, you will play a crucial role in developing and refining our data model to support our growth strategy.

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines for analytics and reporting needs. You will work closely with our analytics partners and data/platform engineering teams to mature our data model and pipelines.

Key Responsibilities
  • Act as a liaison between the business and data platform engineering teams to prioritize and streamline data ingestion efforts.
  • Develop and maintain scalable data pipelines for data ingestion, analytics, and reporting needs.
  • Partner with analytics and operational experts to develop data models and systems that provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Support business stakeholders in Product, Growth, Marketing, Finance, Customer Success, and Sales teams to investigate data-related technical issues and support their data needs.
  • Develop documentation capturing system integration, data flows, data quality, data dictionary, user guides, and best practices.
Requirements
  • Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
  • 3+ years of experience in a data engineering role, with extensive and in-depth data pipeline development experience with industry-standard data integrations and workflow orchestration tools like Airflow, Spark, dbt, etc.
  • Fivetran experience is highly desirable.
  • 1+ year(s) working with and optimizing a cloud data platform like Snowflake, Redshift, or BigQuery in a Data Lake environment supporting structured and semi-structured data. Snowflake experience is highly preferred.
  • Advanced knowledge and experience in complex SQL querying, data processing techniques, and relational databases.
  • Experience developing data quality and validation checks, addressing service incidents related to data load or quality issues, ensuring data delivery SLAs are met as expected.
  • Familiarity with data design, dimensional modeling principles, and data integration concepts, including batch vs real-time data processing, and appropriate data architectures to support various analytics workloads.
  • Git/Gitlab/Github experience is highly preferred.
  • Prior understanding of Salesforce data architecture and best practices is desired.
  • Solid project management and organizational skills; Agile experience is a plus.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience supporting and working with cross-functional teams in a fast-paced, dynamic environment; Start-up experience is preferable.
  • Experience with product-led-growth (PLG) is a plus.
Why JumpCloud?

At JumpCloud, we're committed to being Remote First, meaning you'll have the flexibility to work remotely within the country noted in the Job Description. This role is remote in Mexico, and you must be located in and authorized to work in Mexico to be considered for this role.