Data Engineer Sr. - TMD

Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™.

They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers.

Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights. 

We are currently searching for a Data Engineer Sr.:

Responsibilities

• The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics, reporting, and business intelligence.
• This role ensures data is accessible, reliable, and optimized for performance across various systems.
• Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming data from multiple sources.
• Build and optimize data models for analytics and reporting.
• Implement and manage data storage solutions (e.g., relational databases, data lakes, cloud storage).
• Ensure data quality, integrity, and security across all systems.
• Collaborate with data scientists, analysts, and business teams to understand requirements and deliver solutions.
• Monitor and improve data pipeline performance and troubleshoot issues.
• Stay updated with emerging technologies and best practices in data engineering and cloud platforms.

Requirements

• Proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, SQL Server).
• Strong programming skills in Python, PL/SQL, Java, or Scala.
• Experience with big data technologies (e.g., Hadoop, Spark, Databricks) and cloud platforms (AWS, Azure, GCP).
• Hands-on experience with OpenShift or other container orchestration platforms (e.g., Kubernetes).
• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with workflow orchestration tools (e.g., Airflow, Luigi).
• Understanding of data governance, security, and compliance.

Prefered

• Experience with streaming data (Kafka, Kinesis).
• Background in DevOps practices for data pipelines.
• Knowledge of machine learning workflows and integration with data pipelines.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote

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

• Proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, SQL Server).
• Strong programming skills in Python, PL/SQL, Java, or Scala.
• Experience with big data technologies (e.g., Hadoop, Spark, Databricks) and cloud platforms (AWS, Azure, GCP).
• Hands-on experience with OpenShift or other container orchestration platforms (e.g., Kubernetes).
• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with workflow orchestration tools (e.g., Airflow, Luigi).
• Understanding of data governance, security, and compliance.