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Sr. Pyspark Data Engineer
Cognizant Technology Solutions
Toronto, Ontario, Canada
Posted: over 2 years ago
Number of openings: 1
1-6 years
Permanent

Job Description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.   *Please note, this role is not able to offer visa transfer or sponsorship now or in the future*   Practice - AIA - Artificial Intelligence and Analytics   About 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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 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 DUTIES: - 5+ Years Experience in Data Engineering - Collaboration with Tech Leads and Business in Understanding Business requirement and Technical requirement - 5+ Years Experience in Python  Pyspark & CICD - Experience working in Snowflake - Good working knowledge in Linux /Unix environments - Develop and implement best coding practices - ETL development experience (Informatica/Talend etc.)  data extraction  ingestion  and curation - Ability to work with datasets on both Hadoop and cloud - SQL Knowledge for Analysis and Ingestion design - Knowledge on Agile Methodology and Rally - Knowledge on GIT and Liqubase for code integration and Migration   Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:   Salary and Other Compensation: The annual salary for this position is between $100,000-120,000 CAD depending on experience and other qualifications of the successful candidate. •           Medical/Dental/Vision/Life Insurance •           Paid holidays plus Paid Time Off •           Long-term/Short-term Disability •           Paid Parental Leave   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. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.

RoleSr. Pyspark Data Engineer
IndustryInformation Technology & Services
EducationBachelor of Technology
Key Skills:
Technical requirement
Amazon CloudFront
Digital
SQL
Artificial Intelligence
UNIXWare
Sales Analysis
Linux
Qantel
Application Development Techniques
ETL
Python
Agile
Agile Methodology
Coding
Pyspark
Informatica
Hadoop
CICD
Data Architecture
Snowflake
Integration
data engineering
data extraction
talend
ETL Development
datasets
python pyspark
rally
liqubase