Senior Data Engineer

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.