layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Employer job description
From ShyftLabs's posting. “We” and “our” refer to the employer.
Position Overview:
We are seeking a Data Engineer to join a client-focused engagement, with responsibilities split evenly between production support and technical/development work. This role requires 2–4 years of hands-on experience in data engineering, strong proficiency in Python, SQL, and Spark, and prior exposure to client-based project environments. The ideal candidate will be comfortable balancing operational support duties with building and optimizing data pipelines.
Job Responsibilities:: Provide day-to-day support (50%) for existing data pipelines, jobs, and platforms —monitoring, troubleshooting, and resolving issues to ensure smooth operations
- Design, build, and maintain (50%) scalable data pipelines and ETL/ELT workflows using Python, SQL, and Spark
- Collaborate with cross-functional and client teams to understand data requirements and translate them into technical solutions
- Perform root-cause analysis on data/pipeline issues and implement fixes with minimal downtime
- Optimize existing data workflows for performance, reliability, and cost-efficiency
- Document processes, pipeline architecture, and support runbooks for knowledge continuity
- Participate in on-call/support rotations as needed for the client engagement
- Work with Databricks and/or AWS cloud environments where applicable to build or support data solutions
- Basic Qualifications:: 2–4 years of experience in a Data Engineering role
- Strong proficiency in Python and SQL
- Hands-on experience with Apache Spark
- Prior experience working on client-based projects (mandatory)
- Ability to work across both support and development responsibilities
- Strong problem-solving and communication skills for client-facing situations
- Preferred Skills:: Experience working with Databricks
- Familiarity with AWS Cloud services (e.g., S3, Glue, EMR, Lambda, Redshift)
- Exposure to CI/CD pipelines for data engineering workflows
- Experience with workflow orchestration tools (e.g., Airflow)
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.