Data Engineer – Databricks Specialist
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Job Summary
Data Engineer Databricks Specialist JD-0054
Key Responsibilities
Design develop and maintain scalable data pipelines on Databricks using Spark Delta Lake Workflows and DLT pipelines. Implement and manage Medallion Architecture (Bronze/Silver/Gold layers) with a strong focus on data quality performance and reliability. Build and optimize Structured Streaming pipelines for real-time and near real-time data ingestion and processing. Configure and tune Databricks clusters jobs and workloads to balance performance scalability and cost efficiency. Implement data ingestion from multiple sources (batch CDC streaming) across cloud data platforms primarily AWS Databricks. Enforce data governance security and access control using Unity Catalog schema management and robust data-quality checks. Enable secure data sharing and collaboration through Delta Sharing and well-defined data contracts. Partner with analytics BI and ML teams to provision curated datasets and reusable data assets that support reporting advanced analytics and AI/ML initiatives. Required Skills Strong hands-on experience with Databricks on cloud platforms specifically AWS Databricks. Deep expertise in Apache Spark and PySpark for large-scale data processing. Proficiency in Python for data engineering orchestration and automation. Advanced SQL skills and solid understanding of data modeling (dimensional relational and analytical models). Practical experience implementing Medallion Architecture (Bronze/Silver/Gold) on Databricks. Hands-on experience with Delta Lake DLT (Delta Live Tables) and DLT pipelines. Strong knowledge of Structured Streaming for building real-time and incremental data pipelines. Experience with Unity Catalog for data governance security and metadata management. Expertise in Delta Sharing for secure and governed data-sharing capabilities. Experience with at least one major cloud platform (AWS required; GCP/Azure exposure desirable). Strong understanding of data ingestion patterns (batch CDC streaming) and performance tuning in Spark. Excellent analytical problem-solving and troubleshooting skills with a platform-oriented mindset (reusable frameworks over one-off pipelines). Good to Have Skills Knowledge of data warehousing concepts and tools (e.g. Redshift Snowflake BigQuery Synapse). Familiarity with orchestration tools (e.g. Airflow AWS Step Functions Azure Data Factory). Understanding of CI/CD and DevOps practices for data engineering (e.g. Git Jenkins Azure DevOps GitHub Actions). Exposure to ML/AI workflows and integration of Databricks with ML frameworks. Knowledge of data cataloging and metadata management tools beyond Unity Catalog. Experience with monitoring and observability for data pipelines (logging alerting data quality dashboards). Domain experience in logistics supply chain or transportation (aligned with IntelliTrans business domain). Experience Required 10 to 15 years of overall experience in data engineering with substantial recent experience focused on Databricks and Spark-based solutions
Required Skills:
AWS Databricks Apache Spark PySpark Python SQL Data Modeling Medallion Architecture Delta Lake Delta Live Tables (DLT) DLT Pipelines Structured Streaming Unity Catalog Delta Sharing AWS Cloud Data Ingestion (Batch/CDC/Streaming) Spark Performance Tuning Data Governance Metadata Management Data Engineering Analytics Problem Solving Troubleshooting
Key Skills
- AWS Databricks
- Apache Spark
- PySpark
- Python
- SQL
- Data Modeling
- Medallion Architecture
- Delta Lake
- Delta Live Tables (DLT)
- DLT Pipelines
- Structured Streaming
- Unity Catalog
- Delta Sharing
- AWS Cloud
- Data Ingestion (Batch/CDC/Streaming)
- Spark Performance Tuning
- Data Governance
- Metadata Management
- Data Engineering
- Analytics
- Problem Solving
- Troubleshooting
About Company
Sense7ai is not just redefining talent acquisition and software innovation; we are also committed to leveraging our expertise to support urban and rural skill development, offering opportunities for underserved communities. By offering a synergy of AI-powered recruitment with custom ... View more
