Senior Data Engineer at Encora

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Apache Airflow, Apache Spark, Amazon Redshift, SQL, ETL, Cloud Environments, Python, Scala, Data Quality, Data Modeling, DevOps, Containerization, Real-Time Data Streaming, Data Governance

Industry

IT Services and IT Consulting

Description

Important Information Experience: +5 years Job Mode: Full-time Work Mode: Work from home Job Summary We are seeking a Senior Data Engineer with strong experience in designing, building, and orchestrating data pipelines using modern data platform technologies. The ideal candidate has a deep understanding of scalable data architectures and is passionate about enabling data-driven decision-making across the organization. This role requires hands-on expertise with tools such as Spark, Airflow, and Redshift, and a mindset focused on automation, scalability, and reliability. Candidates who bring a DevOps-oriented approach to data engineering—streamlining deployment, monitoring, and maintenance—will thrive in this environment. Responsibilities and Duties Design, develop, and maintain scalable and reliable data pipelines to support analytics, reporting, and application data needs. Orchestrate complex data workflows and scheduling using Apache Airflow or similar tools. Work with large-scale data processing frameworks such as Apache Spark to clean, transform, and aggregate data. Build and manage data storage and warehousing solutions using Amazon Redshift or comparable platforms. Ensure data quality, lineage, and consistency across multiple sources and destinations. Collaborate closely with Data Analysts, Data Scientists, and other Engineers to deliver high-quality data solutions. Implement best practices for data pipeline monitoring, testing, and version control. Optimize data systems for performance, scalability, and cost efficiency. Qualifications and Skills 5+ years of experience in data engineering or a related field. Proven experience with data pipeline orchestration tools (e.g., Airflow, Luigi, Prefect). Hands-on experience with Spark for large-scale data processing. Strong proficiency with SQL and data warehouse design (preferably on AWS Redshift or similar). Solid understanding of ETL/ELT frameworks, data modeling, and data lifecycle management. Experience with cloud environments (preferably AWS) and related services. Strong programming skills in Python or Scala. Excellent problem-solving skills and the ability to work independently in a fast-paced environment. Strong communication and collaboration abilities across technical and non-technical teams. Nice to have Experience applying DevOps principles (automation, CI/CD, monitoring, infrastructure as code) to data engineering. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Exposure to real-time data streaming tools (e.g., Kafka, Kinesis). Knowledge of data observability and data governance frameworks. About Encora Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Responsibilities

Design, develop, and maintain scalable and reliable data pipelines to support analytics and reporting needs. Collaborate closely with Data Analysts and Data Scientists to deliver high-quality data solutions.