Senior Databricks Engineer
2 weeks ago
About the Role:
We are seeking a highly skilled Senior Databricks Engineer to join our team at Vidpro Consultancy Services. As a Senior Databricks Engineer, you will be responsible for designing and implementing modern data warehouse solutions using Databricks and AWS/Azure Stack. You will work closely with our DW/BI leads to develop new ETL pipeline requirements, troubleshoot existing pipelines, and address gaps. Your strong understanding of data management principles and proficiency in Databricks Data & AI platform and Databricks Delta Lake Architecture will be essential in this role.
Key Responsibilities:
• Creating modern data warehouse solutions using Databricks and AWS/Azure Stack
• Providing forward-thinking solutions in data engineering and analytics
• Collaborating with DW/BI leads for new ETL pipeline development requirements
• Troubleshooting issues in existing pipelines and addressing gaps
• Understanding reporting layer needs and developing data models
• Assisting team members with problem resolution and technical challenges
• Leading technical discussions with client architects and team members
• Orchestrating data pipelines in a scheduler via Airflow
Requirements:
• Bachelor's and/or master's degree in computer science or equivalent experience
• Minimum 3 years of experience in data warehouse/ETL projects
• Deep understanding of Star and Snowflake dimensional modeling
• Strong knowledge of data management principles
• Proficiency in Databricks Data & AI platform and Databricks Delta Lake Architecture
• Hands-on experience in SQL, Python, and Spark (PySpark)
• Experience with AWS/Azure stack and ETL with batch and streaming (Kinesis)
• Familiarity with Apache Kafka for use with streaming data/event-based data
• Working knowledge of Hadoop (incl. Hive, Pig, Impala) and non-relational/NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)
• Experience with structured and unstructured data including imaging & geospatial data
• Proficiency in RDBMS complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, and troubleshooting
• Databricks Certified Data Engineer Associate/Professional Certification (Desirable)
• Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects
• Experience working in Agile methodology
• Strong verbal and written communication skills
• Strong analytical and problem-solving skills with a high attention to detail
Skills and Qualifications:
• ETL, CircleCI, RDBMS, MongoDB, Hadoop, PySpark, PL/SQL, Databricks Data & AI platform, Azure, Azure Databricks, Git, Data Warehouse, Databricks Delta Lake Architecture, SQL, AWS, Pig, Impala, Apache Kafka, Unix Shell Scripting, Data Management, Spark, Neo4J, Extract, Transform, Load (ETL), Hive, Microsoft Azure, Azure Data Factory, Cassandra, Python, Pipelines, Terraform
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