Technical Lead- Databricks/PySpark
4 weeks ago
This in person position is open to any qualified applicant in Hartford, CT United States.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Practice - AIA - Artificial Intelligence and AnalyticsAbout AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models Cognizant’s AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Job Duties and Responsibilities:- Lead the design and implementation of scalable data processing and analytics solutions using Databricks Databricks SQL and PySpark.
- Develop and optimize ETL processes to integrate disparate data sources into a cohesive data ecosystem.
- Collaborate with cross-functional teams to understand data needs and deliver innovative solutions that support the Property & Casualty Insurance domain.
- Ensure the reliability and performance of data pipelines and architectures.
- Provide technical guidance and mentorship to team members fostering a culture of continuous improvement.
- Troubleshoot and resolve complex technical issues in data processing and analytics platforms.
- Participate in strategic planning sessions contributing technical insights that shape our data strategy.
- Ensure compliance with data governance and security policies.
Required skills:
- 10+ years in an IT related role
- Proven expertise in Databricks Databricks SQL PySpark and ETL processes is essential.
- Strong background in the Property & Casualty Insurance domain with a deep understanding of industry challenges and data requirements.
- Excellent problem-solving skills and the ability to think analytically.
- Strong communication and collaboration skills with the ability to work effectively in a team environment.
- A commitment to continuous learning and development in the field of data engineering and big data technologies.
- Ability to lead projects and mentor junior team members driving projects to successful completion.
The annual salary for this position is between $95,000 - $140,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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