About the Job/What will you do
As a Senior Databricks Solutions Consultant you will work closely with clients to deliver high-impact data engineering solutions on the Databricks platform. In this hands-on role you will contribute to the design development and optimization of data platforms while collaborating with more senior architects and technical leads. You will support client success by applying best practices in data engineering and by helping teams adopt Databricks effectively. This is a remote role with occasional travel or on-site presence to be agreed upon in advance.
Main Tasks
- Work with clients on the development and optimization of scalable data pipelines using Databricks and Apache Spark.
- Support the design and implementation of data lakehouse architectures
- Assist in the integration of data engineering solutions with existing cloud platforms (AWS Azure or GCP).
- Participate in client workshops technical discovery sessions and knowledge-sharing activities.
- Troubleshoot performance and reliability issues in data pipelines and contribute to their resolution.
- Help deliver technical enablement such as user training sessions documentation or internal demos.
Qualifications :
Requirements
- 4 years of hands-on experience in data engineering roles.
- Strong working knowledge of Databricks with at least 2-3 successfully delivered projects.
- Strong proficiency in SQL for querying transforming and analyzing large datasets.
- Experience with developing and optimizing Apache Spark in real-world applications.
- Proficiency in Python Scala or Java for data pipeline development.
- In-depth experience with at least one cloud environment such as AWS Azure or GCP.
- Familiarity with data workflow orchestration testing and version control tools (e.g. Airflow Git).
- Strong communication skills and a proactive learning-oriented mindset.
- Fluency in English (both spoken and written) at a strong professional level.
Nice to have:
- Completed the following certifications and training:
- Databricks Certified Data Engineer Professional
- Apache Spark Programming with Databricks
- Experience working in consulting or customer-facing roles.
- Exposure to data science or ML workflows on Databricks including MLFlow.
- Familiarity with BI tools and SQL-based data exploration.
Additional Information :
Why us
- Diverse projects: In each assignment there is always something new either on the technical or on the business side that helps you grow.
- Cutting edge technology: We work with many of the most up-to-date technologies and tools.
- Strong and motivating team: We stress the importance of working together in tight-knit cohesive teams in which members help each other to reach the common goal.
- Work-life balance: We help you to feel good individually as well and coordinate work so as it should align with your leisure activities.
- Professional development: There are team gatherings on a regular schedule where colleagues can share their knowledge and have deep technical discussions.
- Focus on company culture: In addition to our business and professional achievements we are proud of the social bonding in the company which is based on mutual respect and helping one another.
- Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.
Remote Work :
Yes
Employment Type :
Full-time