Senior Consultant Managed Services-Aws Data Engineer

Summary

Join Hakkoda, a modern data consultancy, as an AWS Lead Data Engineer and play a critical leadership role within the Managed Services team. You will build, optimize, and support a complex Data Lake architecture on AWS, mentoring your team and collaborating with clients. This position requires strong AWS experience, team leadership skills, and customer collaboration. You will design scalable and secure solutions, maintain data pipelines, and ensure system reliability. Hakkoda values open communication and a passion for learning, offering a collaborative and supportive environment. This is an exciting opportunity to contribute to a rapidly growing company and make a difference.

Requirements

• 4+ years of experience in technical roles, including 1+ year in a leadership or management role
• Proven experience designing, building, and maintaining complex Data Lakes on AWS for large-scale distributed systems
• Strong understanding of AWS architecture and services, including but not limited to:AWS Glue, EMR, AWS Batch, Lambda, SageMaker, IoT TimeStream, DynamoDB
• Demonstrated experience in leading and mentoring technical teams
• Advanced expertise in SQL, including performance tuning and query optimization
• Proficiency in Python for automation, scripting, and data processing
• Strong experience with ETL/ELT pipelines and data warehouse solutions (e.g., Teradata, Netezza, Oracle Exadata, Snowflake, SQL Server)
• Working knowledge of business intelligence/data analytics
• Experience hiring, developing, and managing technical teams, fostering a collaborative and innovative culture
• Strong organizational and project management skills, including working in Agile environments
• A proactive, solutions-oriented mindset, with the ability to identify and address performance bottlenecks
• Excellent communication skills, with the ability to engage technical and non-technical stakeholders
• Advanced English proficiency (written and spoken)
• Bachelor’s degree in Data Analytics, Computer Science, Management Information Systems, Mathematics, or a related technical field

Responsibilities

• Design and develop complex Data Lake architectures on AWS, leveraging modern design patterns and frameworks
• Build, manage, and optimize ETL/ELT pipelines for large-scale data platforms using tools like AWS Glue, EMR, and AWS Batch Service
• Lead the implementation of AWS Lambda functions for automation and event-driven processes
• Implement and optimize solutions using IoT TimeStream Database for time-series data and DynamoDB for NoSQL workloads
• Guide the team in leveraging SageMaker for machine learning model development and deployment
• Develop robust IAM policies to ensure security, compliance, and proper access controls across all environments
• Provide thought leadership in using AWS services, tools, and best practices to improve system performance and reliability
• Mentor and coach team members, fostering professional growth and knowledge sharing
• Collaborate with internal and client teams to identify problems, prevent incidents, and deliver solutions that meet business goals
• Monitor the production environment holistically, ensuring system health, reliability, and performance
• Manage and prioritize multiple client engagements, including incident resolution, enhancements, and infrastructure optimization

Preferred Qualifications

• Familiarity with data visualization tools like Power BI, Tableau, or Looker
• Cloud expertise with a focus on AWS; experience with Snowflake or other cloud platforms (Azure, GCP) is a plus

Benefits

• Comprehensive Life Insurance: Including dental and vision, wellness, home spa treatments, express doctor visits etc
• Paid Parental Leave
• Flexible PTO Options
• Company Bonus Program
• Asociación Solidarista
• Technical Training & Certifications
• Extensive Learning and Development Opportunities
• Flexible Work-from-Home Policy
• Work from Anywhere Benefit