Financial services experience is a MUST.
Screening Questions:
1-How proficient are you with programming languages and tools for data engineering tasks (e.g., SQL, Python, Airflow, Terraform)? how many years?
2- Can you describe your experience designing, building, and maintaining ETL/ELT pipelines? Which tools and technologies did you use?
3-Have you worked directly with analysts or business stakeholders to translate business needs into technical data solutions? Can you share an example?
4-What is your experience designing data architectures on AWS using services like Glue, S3, Lambda, and Redshift or Snowflake?
5-How do you ensure data quality, observability, and lineage in your pipelines? What tools or practices have you implemented?
6-Have you participated in or led a cloud data migration project? What was your role and what challenges did you face?
7-Describe a time when you mentored junior engineers or promoted engineering best practices within a team.
8-How many years of hands-on experience do you have in data engineering? What types of systems or industries have you worked in?
9- Have you worked with CI/CD pipelines for data deployments or infrastructure? What tools did you use and how did you manage rollouts?
10-Do you have experience working in financial services or other regulated industries? If so, what types of data and systems were involved?