Job Title: Data Engineer – Databricks
Company: V4C.ai
Type: Full-time
About V4C.ai
V4C.ai is a premier IT services consultancy and a proud partner of Databricks, the Data Intelligence Platform, driving strategic business transformation.
We partner with organizations to accelerate their journey towards AI-driven success by offering a comprehensive suite of Dataiku and generative AI services. Our expertise in implementation, optimization, and enablement empowers clients to harness the full potential of their data, unlocking significant competitive advantages and fostering innovation..
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Databricks and Apache Spark
- Integrate data from various sources into data lakes or data warehouses
- Implement and manage Delta Lake architecture for reliable, versioned data storage
- Ensure data quality, performance, and reliability through testing and monitoring
- Collaborate with data analysts, scientists, and stakeholders to meet data needs
- Automate workflows and manage job scheduling within Databricks
- Maintain clear and thorough documentation of data workflows and architecture
- Work on Databricks-based AI/ML solutions, including machine learning pipelines, in collaboration with data science teams
Requirements
- Experience: 3+ years in data engineering with strong exposure to Databricks, AI/ML, and big data tools
- Technical Skills:
- Proficient in Python or Scala for ETL development
- Strong understanding of Apache Spark, Delta Lake, and Databricks SQL
- Familiar with REST APIs, including Databricks REST API
- Cloud Platforms: Experience with AWS, Azure, or GCP
- Data Modeling: Familiarity with data lakehouse concepts and dimensional modeling
- Version Control & CI/CD: Comfortable using Git and pipeline automation tools
- Soft Skills: Strong problem-solving abilities, attention to detail, and teamwork
Nice to Have
- Certifications: Databricks Certified Data Engineer Associate/Professional
- Workflow Tools: Experience with Airflow or Databricks Workflows
- Monitoring: Familiarity with Datadog, Prometheus, or similar tools
- ML Pipelines: Experience with MLflow or integration of machine learning models into production pipelines
Top Skills
What We Do
InOrg helps organizations achieve global competitiveness through the seamless integration of talent, technology, and strategic capabilities.
