Role Title: Data Engineer

ECLARO: A quick Summary

ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client’s needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E® Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement.

About the role:

We are seeking a skilled Data Engineer for our data engineering team. This role will be responsible for the development and implementation of data solutions and pipelines on AWS to support data driven initiatives of the organization. The ideal candidate will be a team player with deep understanding of modern data systems and tools, particularly within AWS cloud environment.

Key Responsibilities:

• Data Pipeline Development: Design, implement, and optimize end-to-end data pipelines

for ingesting, processing, and transforming large volumes of structured and unstructured

data. Develop robust ETL (Extract, Transform, Load) processes to integrate data from

diverse sources into our data ecosystem. Implement data validation and quality checks to

ensure accuracy and consistency.

• Data Integration: Build and maintain integrations with internal and external data sources

and APIs. Implement RESTful APIs and web services for data access and consumption.

Ensure compatibility and interoperability between different systems and platforms.

• Cloud Data Infrastructure: Monitor system performance, troubleshoot issues, and

implement optimizations to enhance reliability and efficiency. Help implement data

security controls and access management policies to protect sensitive information.

• Data Quality & Governance: Implement and enforce data quality standards and

governance practices. Ensure data integrity, accuracy, and security across all systems and

processes, with a focus on AWS security best practices.

• Innovation & Optimization: Identify opportunities for process improvements and

technological advancements within the AWS ecosystem. Stay current with industry trends

and emerging technologies to drive innovation and efficiency.

• Cross-Functional Collaboration: Work closely with data scientists, analysts, and other

engineering teams to ensure seamless data integration and support analytical initiatives.

Document technical designs, workflows, and best practices to facilitate knowledge sharing

and maintain system documentation. Provide technical guidance and support to team

members and stakeholders as needed.

Qualifications:

• Education: Bachelor’s degree in computer science, engineering, data science, or a related

field. Master’s degree or advanced certifications are a plus.

Experience:

• 5+ years of experience in building and implementing data pipelines in large scale
• data engineering solutions. Proven experience with AWS cloud services is essential.
• 5+ years of SQL programming
• 3+ Years of experience using modern data development tools and programming
• languages (AWS Glue, Kafka, Python, Pyspark, Scala etc.)
• Expert knowledge of data modeling, data warehousing techniques and best
• practices
• Excellent problem-solving skills and attention to detail.
• Effective communication and ability to collaborate with technical and non-technical
• team members across organization

Preferred experience:

• Experience with big data technologies (e.g., Hadoop, Spark) and AWS analytics
• tools (e.g., Amazon Athena, Amazon Kinesis) is highly desirable