Sr. Consultant, Data Engineering

As a Sr. Consultant, Data Engineer at Hakkoda, you'll be responsible for designing and developing cloud data solutions, focusing on building data ingestion pipelines, data architecture, and ensuring data governance and security. You'll also lead technical teams and work closely with clients, mentoring them on best practices.

To qualify for the Sr. Consultant, Data Engineer position at Hakkoda, candidates should possess a Bachelor’s degree in engineering, computer science, or a related field, along with at least 5 years of experience in data management and database development. Essential skills include expertise in SQL, Python scripting, and experience with cloud platforms like AWS, as well as in building data warehouses and ETL processes.

At Hakkoda, we foster a collaborative atmosphere where everyone's input is valued. You'll be part of a dynamic team that celebrates creativity and curiosity, while also offering opportunities for personal growth, technical training, and flexible work arrangements. Our culture is centered around continuous learning and development.

Hakkoda provides numerous resources to support career growth, including technical training and certifications, mentorship programs, and opportunities to lead important projects. We encourage our employees to pursue innovative solutions and enable them to thrive within a collaborative environment.

Benefits for the Sr. Consultant, Data Engineer at Hakkoda include comprehensive life insurance (including dental and vision), paid parental leave, flexible PTO options, and a company bonus program. Additionally, we offer extensive learning and development opportunities and a flexible work-from-home policy.

When responding, highlight specific examples of projects you've worked on, the technologies you used, and the impact it had on data accessibility or efficiency for the organization. Be sure to mention any collaboration with stakeholders to optimize these processes.

Discuss your methodology for assessing project needs and objectives. Emphasize your experience with scalable design principles and how you've utilized cloud technologies, specifically Snowflake, in past projects to create efficient architectures.

Share your understanding of data governance frameworks and best practices you've applied in previous roles. Provide examples where you’ve set up security measures to protect data integrity and comply with regulations.

Outline your proficiency in SQL and Python, showcasing examples of projects where you've used these skills. Discuss any challenges you've faced and how you overcame them, particularly related to data manipulation or automation.

Explain how you approach documentation, particularly in keeping it comprehensive and up-to-date. Provide examples of documentation standards you’ve established or improved and how these have aided team collaboration.

Share your leadership experiences, focusing on your communication style, mentoring practices, and how you foster a collaborative environment. Provide examples of successful projects you've led and the impact of your leadership.

Discuss your problem-solving strategies and examples of challenges you’ve navigated in past migration projects. Highlight your approach to risk assessment and mitigation and how you maintained project timelines.

Describe a specific project, including your role, the technologies used, and the results achieved. Focus on how the warehouse improved decision-making or data availability for stakeholders.

Discuss the ETL tools you are familiar with, such as DataStage or Informatica, and provide examples of how you used them to build efficient data pipelines, including any specific challenges faced and how you resolved them.

Talk about your commitment to ongoing learning through courses, webinars, industry conferences, or online communities. Mention any specific resources or networks you engage with to keep your skills sharp and knowledge current.