Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sequoia Connect

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.

📋 Description

• Work with large-scale big data platforms such as Databricks and Apache Spark • Build and maintain ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms • Develop high-performance data processing jobs using PySpark/Spark and Python on Cloudera and Databricks • Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns • Contribute to CI/CD for data workflows, including testing, code reviews, and deployment automation • Partner with Product Managers to understand users and use cases • Scope and build new modules and features

🎯 Requirements

• Strong hands-on experience in data engineering, building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms, specifically Databricks) • High proficiency in Python, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi), and SQL • Hands-on experience with cloud data platforms such as Databricks and Snowflake; Databricks preferred • Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend • Working knowledge of DevOps/CI/CD practices, including Git, automated testing, release pipelines, and observability • Strong problem-solving skills and ability to debug complex data issues • Ability to communicate clearly with technical and non-technical stakeholders • Resilience, emotional intelligence, and focus on agile delivery • Deep understanding of the difference between coding and engineering • Advanced oral English • Advanced Spanish • Experience developing Java-based applications is an added advantage • Familiarity with cloud-native foundations or AI coding assistants is desired

🏖️ Benefits

• Remote work arrangement • Global career opportunities and exposure to high-impact projects • Work on end-to-end digital transformation projects • Growth through world-class, high-impact projects • Workplace recognized as one of the most sustainable corporations in the world