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We are seeking a Senior Data and AI engineer with expertise in cloud data engineering. You will work with large datasets, leverage AI technologies, and utilize Databricks for data processing and analytics to support business objectives. You will play a key role in transforming enterprise business data into insights. You will collaborate with other data and AI engineers and business stakeholders to create scalable data and AI solutions that align with business needs.
Job Responsibility:
Collaborate with business stakeholders to understand their data needs and provide tailored solutions that meet their business objectives
Analyzing business requirements and translating them into technical specifications
Design, develop and implement data engineering solutions using Azure Databricks Lakehouse platform
Build Data and AI solutions that leverage Databricks Genie, AgentBricks, Mosaic AI, MLFlow, Unity Catalog and other Databricks components
Conduct detailed data analysis to identify existing data tables and if required designing new tables, views and other objects using Databricks platform
Apply AI and machine learning techniques to structured and unstructured data processing and analysis
Ensure data quality, integrity, and security throughout the data lifecycle
Collaborate with data scientists and analysts to meet data requirements
Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts
Stay updated with the latest trends and technologies in data engineering, AI, LLMs and Agentic AI
Requirements:
Bachelor’s degree in computer science, engineering, or related field
5-7 years proven experience as a Data Engineer with cloud-based data platforms like Databricks, Snowflake, BigQuery
Expertise with Databricks SQL, Compute Warehouses, AI/BI Genie, AgentBricks, Unity Catalog and Vector indexes
Experience with data modeling, Medallion architecture, ETL processes and data warehousing concepts
Strong programming skills in languages such as Python, SQL or Scala
Experience with DevOps and DataOps process to deploy data objects and pipelines across environments using scripts and agile process
Experience with AI/ML concepts and their application in data engineering
Excellent problem-solving skills and ability to work independently and as part of a team
Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
5-10 years of experience in technologies relevant to data/information management, such as SQL, Azure Databricks including Databricks Genie, AgentBricks, Mosaic AI, MLFlow, Unity Catalog and other Databricks components
Has a broad level of understanding surrounding AI use cases supporting business needs
Experience in leading small project teams and streams
Demonstrated ability to analyze and interpret complex problems or processes that span multiple business areas, identify and understand requirements, and develop alternate solutions
Experience designing, developing and testing applications using proven or emerging technologies in a variety of technologies and environments
What we offer:
medical
dental
vision care
comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness
support for working families
backup dependent care
adoption assistance
infertility coverage
family building support
behavioral health solutions
paid parental leave
paid caregiver leave
training programs
professional development resources
opportunities to participate in mentorship programs