Talentfish is pioneering the next generation of staffing and consulting by leveraging AI and video technology to accelerate the hiring process and provide deep insights, enhancing outcomes for clients in the competitive talent acquisition space. Founded as an employee-owned company, Talentfish emphasizes diversity and equal opportunity.

We are currently seeking a Data Engineer specialized in Azure Cloud for a full-time, direct hire role. This hybrid or remote position is based in Chicago's near north suburbs, although remote candidates will be considered. The role involves working on business intelligence, machine learning, and forecasting, developing and maintaining data pipelines, data models, and data cleansing rules engines. Essential qualifications include 3-5 years of experience in data pipeline development, T-SQL, data modeling, and familiarity with cloud-based ETL systems and software development best practices.

If you are ready to dive into the world of Talentfish and tackle exciting challenges, this guide will walk you through the interview process with insights and tips from Interview Query. Let's get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Talentfish as a Data Engineer. Whether you were contacted by a Talentfish recruiter or took the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Talentfish Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be part of the screening process.

In some cases, the Talentfish data engineer hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Talentfish Data Engineer role is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Talentfish’s data systems, ETL pipelines, and SQL queries.

In the case of data engineering roles, take-home assignments regarding ETL processes, data modeling, and pipeline optimization are incorporated. Apart from these, your proficiency against cloud-based ETL systems, T-SQL, and data transformation techniques may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day(s) at the Talentfish office or specified location. Your technical prowess, including programming and data modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Engineer role at Talentfish.

Quick Tips For Talentfish Data Engineer Interviews

• Brush Up on Your Cloud Infrastructure Knowledge: Given Talentfish’s focus on Azure, ensure your knowledge is current regarding Azure tools such as Azure Synapse, Azure Data Factory, and SSIS/SSRS/SSAS.
• Showcase Your SQL and ETL Skills: Talentfish places a strong emphasis on SQL programming and ETL systems. Make sure to highlight your experience and skills in T-SQL, data pipelines, and data transformation.
• Emphasize Soft Skills: Data engineers often collaborate with executives and other departments at Talentfish. Demonstrating your ability to work effectively within a team and communicate technical details to non-technical stakeholders can give you an edge.

Typically, interviews at Talentfish vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

• Will increasing the number of trees in a random forest model always improve accuracy? If you sequentially increase the number of trees in a random forest model, will the model's accuracy continue to increase indefinitely?

What is the average salary for a Data Engineer at Talentfish?

Q: What is Talentfish?
Talentfish is a cutting-edge staffing and consulting company that leverages AI and video technology to enhance speed to market and provide insightful, high-quality outcomes for clients. Providing exceptional experiences for employees, consultants, and clients is at the heart of what Talentfish does.

Q: What are the key responsibilities of a Data Engineer at Talentfish?
As a Data Engineer, you will primarily be responsible for developing and maintaining data pipelines, designing data models, and ensuring data quality through automated processes. Collaborating with executives and other departments to identify technical requirements for ETL solutions is also a significant part of this role.

Q: What qualifications do I need for a Data Engineer position at Talentfish?
You'll need 3-5 years of experience in designing, developing, and supporting data pipelines, along with strong SQL programming skills. Experience with Azure cloud infrastructure and BI tools like SSIS, SSRS, and SSAS is also required. A degree in Data Engineering, Computer Science, or a related field, or equivalent work experience, is essential.

Q: How is the company culture at Talentfish?
Talentfish has a vibrant and inclusive culture that embraces diversity and encourages continual learning and growth. Being an employee-owned company, Talentfish is strongly focused on creating a supportive and collaborative work environment for all employees.

Q: How can I prepare for an interview at Talentfish?
To prepare for an interview at Talentfish, you should research the company thoroughly, practice common interview questions, and review your technical skills, particularly in SQL and cloud-based ETL systems. Using platforms like Interview Query can help you prepare for the type of technical and behavioral questions you may face.

Ready to dive into an exciting career with Talentfish as a Data Engineer? This role offers not just the chance to work with cutting-edge technologies in Azure cloud, but also to join a dynamic, employee-owned company that prioritizes innovation, diversity, and superior client and consultant experiences. With opportunities available both remotely and in various vibrant U.S. locations, there's flexibility to fit your lifestyle while contributing to a rapidly growing team.

If you want more insights about Talentfish, check out our main Talentfish Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles where you can learn more about Talentfish’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Talentfish interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!