AWS Data Engineer

About The Company
BSL Consulting is a leading technology consulting firm specializing in data solutions, cloud computing, and digital transformation. With a strong commitment to innovation and excellence, we empower organizations across various industries to harness the full potential of their data assets. Our team of dedicated professionals works closely with clients to deliver tailored solutions that drive growth, efficiency, and competitive advantage. At BSL Consulting, we foster a collaborative and inclusive environment where continuous learning and professional development are prioritized.
About The Role
We are seeking a highly skilled Data Engineer to join our dynamic team at BSL Consulting. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and data architecture on AWS cloud platform. Your expertise will help enable our clients to leverage big data analytics, machine learning, and business intelligence tools effectively. The ideal candidate will have extensive experience in data engineering, with a strong background in AWS data services, programming, and data modeling. This position offers an exciting opportunity to work on complex data projects, lead technical initiatives, and contribute to the growth of our data engineering practice.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
6+ years of professional experience in data engineering or related roles.
Extensive hands-on experience with AWS data services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, and API Gateway.
Proficiency in programming languages including Python and SQL; experience with Shell scripting and Scala is a plus.
Strong understanding of data lakes, data warehouses, and data ingestion pipelines on AWS.
Proven experience in designing and implementing ETL/ELT processes, data modeling, and working with big data frameworks.
Ability to lead, mentor, and collaborate with engineering teams in a fast-paced environment.
Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools such as CloudFormation and Terraform.
Excellent problem-solving, communication, and organizational skills.
Responsibilities
Design, develop, and maintain scalable and reliable data pipelines using AWS services to support analytics and reporting needs.
Build and optimize data lakes and data warehouses, ensuring data quality, integrity, and security.
Implement ETL/ELT processes to facilitate efficient data ingestion, transformation, and storage.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions accordingly.
Lead the development of data models and schemas that support analytical and operational use cases.
Automate deployment processes and manage infrastructure using DevOps tools and practices.
Mentor junior engineers, fostering a culture of continuous learning and technical excellence.
Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
Stay updated with emerging trends and best practices in data engineering and cloud technologies, recommending improvements as needed.
Benefits
At BSL Consulting, we value our employees and offer a comprehensive benefits package designed to support your personal and professional growth. Benefits include competitive salary packages, health insurance, retirement plans, paid time off, and opportunities for continuous learning and development. We promote a flexible work environment that encourages work-life balance and provides opportunities for remote work. Additionally, you will have access to various training programs, certifications, and resources to enhance your skills and advance your career within the organization.
Equal Opportunity
BSL Consulting is an equal opportunity employer. We are committed to creating an inclusive workplace where diversity is celebrated and all employees are treated with respect and fairness. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity, age, disability, or any other protected characteristic. We believe that diverse perspectives foster innovation and drive success, and we encourage candidates from all backgrounds to apply.

Work arrangement
Yes