Data Bricks Engineer

New Yesterday

Must Have Technical/Functional Skills Design, develop, and implement data pipelines and ETL processes using Azure services, with a focus on Azure Databricks, Azure Data Factory (ADF), Azure Functions, and Azure AI Search. • Leverage Python SDKs to build and optimize data processing and analysis tasks, ensuring high performance and scalability in data workflows. • Write and deploy Python applications that can run on Kubernetes, ensuring efficient containerization and orchestration of data processing tasks. • Implement and integrate Azure AI Search capabilities to enhance data accessibility and retrieval for analytics and business intelligence. • Utilize version control tools such as GitHub for code management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation
Roles & Responsibilities 3+ years of experience in a data engineering role. • Strong experience with Azure services, particularly Azure Databricks, ADF, and Azure AI Search. • Proficiency in Python and its relevant libraries and Spark, with a focus on leveraging Python SDKs for data engineering tasks. • Experience writing and deploying Python applications, including familiarity with containerization and orchestration tools. • Experience working with diverse data formats and data storage solutions. • Familiarity with version control software (e.g., GitHub) and agile methodologies. • Strong problem-solving and analytical skills, with a keen attention to detail. • Excellent communication and collaboration abilities, with a proven track record of working effectively in teams.
This position is a hybrid role and will require the candidate to be in office 2-3 days a week.
Salary Range: $100,000 - $120,000 a Year
TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-DNI
Location:
Celina, TX, United States
Category:
Computer And Mathematical Occupations

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