Pyspark Technical Lead
Company: Cognizant
Location: Chicago
Posted on: January 21, 2025
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Job Description:
About AI & Analytics: Artificial intelligence (AI) and the data
it collects and analyzes will soon sit at the core of all
committed, 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 craft 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trial-and-error business decisions have been replaced by informed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 provides businesses 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
Summary : We are seeking a Pyspark Technical Lead with 7 to 11
years of experience to join our team. The ideal candidate will have
expertise in Pyspark , Cloudera HUE, Cloudera Data Platform, Apache
Iceberg, Spark. This role involves working in a hybrid model with
day shifts. The candidate will play a crucial role in driving our
research and development initiatives, leveraging their technical
skills to deliver impactful solutions. Experience : 7to11yrs
Required Skills : Cloudera HUE,PySpark,Spark Pyspark,Cloudera Data
Platform,Apache Iceberg Responsibilities : Lead the design and
implementation of data solutions using Cloudera HUE and Cloudera
Data Platform Supervise the integration of Apache Iceberg and Spark
into existing data workflows Provide technical guidance and
mentorship to junior team members on PySpark best practices
Collaborate with cross-functional teams to understand data
requirements and deliver scalable solutions Ensure data quality and
integrity through meticulous testing and validation processes
Develop and maintain documentation for data architectures and
workflows Optimize data processing pipelines for performance and
efficiency Conduct code reviews to ensure alignment to coding
standards and best practices Solve and resolve complex technical
issues related to data processing Stay updated with the latest
advancements in data technologies and incorporate them into
projects Drive innovation by exploring new tools and techniques in
the research and development domain Communicate effectively with
stakeholders to gather requirements and provide project updates
Contribute to the overall success of the company by delivering
high-quality data solutions that drive business value
Qualifications
Keywords: Cognizant, West Allis , Pyspark Technical Lead, IT / Software / Systems , Chicago, Wisconsin
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