Lead Data Engineer - AWS Cloud / Part Time

The Lead Data Engineer at Integrant Inc. primarily focuses on designing, developing, and maintaining data analytical solutions leveraging AWS technologies. This role includes engaging with clients to gather requirements, mentoring junior team members in data engineering practices, and delivering tailored analytical solutions that meet client needs.

To qualify for the Lead Data Engineer position at Integrant Inc., candidates should have at least 8 years of experience in data engineering. A strong background in AWS technologies, including tools such as S3 and Lambda, along with solid proficiency in Python, SQL, and data manipulation libraries is essential.

For the Lead Data Engineer role at Integrant Inc., familiarity with a range of AWS tools is essential. Candidates should have hands-on experience with S3, SNS, SQS, Lambda Functions, as well as infrastructure provisioning tools like Terraform and CloudFormation. Experience with Snowflake and various ETL tools is also required.

Integrant Inc. fosters a supportive and flexible work environment for Lead Data Engineers. With competitive pay, comprehensive medical benefits, opportunities for onsite client engagements in the U.S., and perks like dedicated learning time, team events, and flexible schedules, it’s designed to help you thrive professionally and personally.

Integrant Inc. is dedicated to the professional growth of its Lead Data Engineers. The company offers in-house technical and English training programs, dedicated learning time as part of the 4Plus1 Program, and the opportunity to mentor fellow team members, ensuring continuous learning and development.

When answering this question, share specific AWS services you’ve used and elaborate on how you've leveraged these tools in previous projects. Highlight your expertise in S3, Lambda, or other relevant tools, and focus on the impact your solutions had on data processing or workflow efficiency.

Discuss your approach to engaging with clients, such as holding face-to-face meetings, using questionnaires, or conducting workshops. Emphasize your ability to listen actively and translate client needs into actionable data solutions, showcasing a previous success if possible.

Share your mentoring philosophy and specific techniques like pair programming, code reviews, or structured learning sessions. Highlight an example of a junior engineer's development and how your guidance contributed to their growth, making your process relatable and actionable.

Choose a project that showcases your data architecture skills, detailing challenges faced, the architecture you designed (like data lakes or warehouses), and technologies used (e.g., Snowflake, AWS). Discuss the project's outcomes, including improvements in efficiency or data retrieval times.

Discuss testing frameworks you’ve implemented, such as unit testing or integration testing, and the importance of validation, especially in ETL processes. Providing examples from your experience can demonstrate your capacity to ensure data integrity throughout the data pipeline.

Mention resources you use to keep current, such as industry blogs, online courses, or professional groups. Highlight how applying new knowledge has benefited your previous roles, showcasing your enthusiasm for continuous learning in the rapidly evolving data field.

Describe your SQL proficiency, including advanced techniques and data modeling experience with various database systems. Providing examples of particularly challenging modeling tasks can illustrate your capability and confidence in this essential area.

Explain your approach to ingesting and processing data from various sources. Sharing particular tools or packages you've used (like Pandas) and challenges you faced will provide insight into your practical experience in data manipulation.

Outline a specific project where you identified inefficiencies in a current process and the steps you took to enhance it. Emphasis on measurable results, like reduced processing times or improved data accuracy, will showcase your problem-solving skills effectively.

Share your excitement about the role, company culture, and opportunities for mentorship and continuous learning. Align your career aspirations with the company's values and highlight any specific aspects that resonate with you, such as innovative projects or community involvement.