Data Engineer

Summary

Join Encora's Analytics team as a Sr. Data Engineer to build and enhance robust, scalable data pipelines. You will leverage cutting-edge big data technologies on AWS, focusing on performance optimization and collaboration with other engineering teams. This full-time, work-from-home position requires 5+ years of experience in data processing within large cloud-based infrastructures. The ideal candidate will possess strong Python and PySpark skills, expertise in SQL and dimensional modeling, and familiarity with data pipeline orchestration tools. The role involves designing, implementing, and automating data pipelines, optimizing queries, and collaborating with stakeholders.

Requirements

• 5+ years of data processing experience in large cloud-based infrastructure (AWS is must)
• Hands-on software development experience in Python, with strong proficiency in Py Spark for data engineering tasks and data pipeline development
• Expert understanding of SQL, dimensional modeling, and analytical data warehouses, such as Snowflake
• Understanding of Data Engineering best practices for medium to large scale production workloads
• Expertise with data pipeline orchestration tools, such as Airflow
• Familiar with processing semi-structured file formats such as json or parquet

Responsibilities

• Deploy and configure Apache Spark clusters on AWS (particularly EKS), optimizing for performance, resource allocation, and scalability
• Develop, automate, and support robust and reliable Spark data pipelines, focusing on high performance and low latency
• Design and implement highly optimized queries to improve data processing efficiency, streamline analysis, minimize latency, and enhance overall system performance
• Collaborate to make the Data Platform an effective, scalable, and resilient system
• Gather requirements from stakeholders, prioritize work, and document technical solutions clearly and effectively
• Engage with data engineers, data scientists, product managers, and internal stakeholders to align project goals and implementations
• Contribute to a team culture that values quality, robustness, and scalability while fostering initiatives and innovation

Preferred Qualifications

• Experience with Jinja, Shell scripting, DBT
• Developing in Cloud platform using serverless technologies such as glue, lambda, EMR is a plus
• Experience with remote development using AWS SDK is a plus
• Experience with ELT pipelines - DBT
• REST API design and implementation
• Familiarity with containers and infrastructure-as-code principles
• Experience with automation frameworks - Git, Jenkins, and Terraform

Benefits

Work from home