Data Engineer Sr

Posted 5 Days Ago
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Hiring Remotely in México
Remote
Senior level
Information Technology • Consulting
The Role
Build and maintain large-scale ETL/ELT pipelines using Databricks, Spark, Python, Hadoop, and cloud data platforms. Develop and optimize PySpark data processing jobs, improve pipeline performance and cost, and support CI/CD, testing, deployment automation, and observability. Collaborate with Product Managers to define user-focused data modules and features. Debug complex data issues and communicate effectively with technical and non-technical stakeholders.
Summary Generated by Built In
Description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.

This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.

We are currently searching for a Senior Data Engineer:

The Challenge (Responsibilities)

  • Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at a large scale, pushing the boundaries of data processing and model enablement.
  • Build and maintain robust ETL/ELT pipelines for the 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 data platforms such as 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 (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.
  • Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features.

Your Profile (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 using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products.
  • 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: version control (Git), automated testing, release pipelines, and observability.
  • Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Experience developing Java-based applications is an added advantage.
  • Familiarity with cloud-native foundations or AI coding assistants.

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • Our Client is seeking proactive engineers ready to push the boundaries of large-scale data processing.

Work Arrangement We value flexibility to support your lifestyle. This position is available as:

  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/

Requirements
  • Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).
  • High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.
  • Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)
  • Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.
  • Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.
  • Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.
  • Experience developing Java based applications is an added advantage.

Skills Required

  • Strong hands-on experience in data engineering and building production-grade pipelines on Hadoop and cloud data platforms, especially Databricks.
  • High proficiency in Python, Spark, Hadoop tools, Hive, Impala, Airflow, NiFi, and SQL.
  • Hands-on experience with cloud data platforms such as Databricks and Snowflake; Databricks preferred.
  • Experience with orchestration and integration tools such as Apache Airflow, Apache NiFi, or Talend.
  • Working knowledge of DevOps and CI/CD practices, including Git, automated testing, release pipelines, and observability.
  • Strong problem-solving, debugging, and communication skills with technical and non-technical stakeholders.
  • Advanced oral English proficiency.
  • Advanced Spanish proficiency.
  • Experience developing Java-based applications.
  • Familiarity with cloud-native foundations or AI coding assistants.
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The Company
HQ: Austin, TX
30 Employees
Year Founded: 2017

What We Do

From Technologist to Technologist. We are the catalysts of digital evolution. Our core expertise lies in connecting Top Technologists with Top Companies through unparalleled IT headhunting solutions. Our international expertise helps businesses of all sizes innovate and succeed. Our clients are global companies with over 100k employees serving 700+ clients in 50+ countries. Rooted in a profound grasp of technology, our premier IT Headhunting Services drive transformative growth for Fortune 500 corporations. We maintain the highest standards of technological innovation to meet global demands.

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