JOB DESCRIPTION:

We are seeking a highly skilled and technically proficient Senior Data Engineer with deep expertise in AWS services and data engineering frameworks. The ideal candidate will play a pivotal role in designing, building, and optimizing scalable data pipelines and cloud-native solutions. This role demands a strong understanding of cloud architecture, data modeling, and excellent communication skills to collaborate across cross-functional teams.

Key Responsibilities:

Architect and implement robust data pipelines using AWS services such as Glue, EC2, ECS, Lambda, Step Functions, IAM, Athena, Presto, S3, and Redshift
Collaborate with stakeholders to define source-to-target mappings and contribute to the development of target data models
Enable scalable data engineering solutions using Python, Apache Spark, and other modern frameworks
Optimize data workflows and ensure high performance, reliability, and security across cloud environments
Provide technical leadership and mentorship to junior engineers and data analysts
Communicate effectively with technical and non-technical stakeholders to translate business requirements into technical solutions
Work with tools like HUE and Dremino (preferred) to enhance data accessibility and usability

Required Skills & Qualifications:

Proven hands-on experience with AWS data services and cloud infrastructure
Strong programming skills in Python and Spark for data processing and transformation
Experience in designing and implementing ETL/ELT pipelines and data lake architectures
Familiarity with data modeling concepts and ability to contribute to schema design
Knowledge of Dremino or similar query engines is a plus
Excellent problem-solving and analytical skills
Strong communication and collaboration abilities

Preferred Qualifications:

AWS certifications (e.g., AWS Certified Data Analytics, Solutions Architect)
Experience with CI/CD pipelines and DevOps practices in cloud environments

BeaconFire Inc.

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