About the role

Company ProfileFlentas helps enterprises leverage the full potential of the Cloud through consulting and implementation services. As an organization, Flentas brings strong technology expertise and hands-on experience to drive large-scale digital transformation initiatives and scale cloud operations. We serve clients globally, supported by a passionate team of experienced Solution Architects and Technology Enthusiasts.
Required Skills & Expertise

Hands-on experience with Databricks
Strong proficiency in PySpark, Apache Spark, and SQL
Experience building and managing ETL/ELT pipelines
Good knowledge of cloud platforms such as Azure, AWS, or GCP
Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Understanding of data modeling and data warehousing concepts
Familiarity with Git and CI/CD practices
Excellent communication and stakeholder management skills

Role SummaryThe selected candidate will contribute to both development and support activities for enterprise data platforms. The role primarily focuses on designing, enhancing, and maintaining scalable data solutions using Databricks and cloud-based technologies.Key Responsibilities

Design, develop, and maintain scalable data pipelines and integration solutions.
Build and optimize ETL/ELT processes for large-scale data environments.
Collaborate with business and technical stakeholders to deliver effective data solutions.
Provide support and enhancements for existing data platforms based on evolving business needs.
Improve platform performance, scalability, and reliability.
Ensure compliance with data quality, governance, and security standards.

Preferred Qualifications

Experience with Azure Data Factory (ADF) and Azure Synapse
Exposure to Kafka or Spark Streaming
Databricks Certification is an added advantage
Experience working in Agile environments

Senior Data Engineer

About the role

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