Data Engineer at Cognizant

Posted in Information Technology 8 days ago.

Type: Full-Time
Location: Hartford, Connecticut





Job Description:

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks

*You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future *

Job Title – Data Engineer

Location – Hartford, CT (Remote until COVID)

Roles/Responsibilities:


  • Proficient in Spark Python, AWS Cloud technologies

  • Must have active current experience with Python, Oracle, Redshift, Hive

  • Must be able to quickly understand technical and business requirements and can translate them into technical implementations

  • 5+ years of experience across multiple Hadoop / Spark technologies such as Hadoop, MapReduce, HDFS, Hive, Flume, Sqoop, Spark, Python with AWS scripting and automation

  • Flair for data, schema, data model, how to bring efficiency in big data related life cycle

  • Expert in AWS technologies

  • Ability to work on AWS Glue, EMR, AWS S3, Lakeformation and other cloud concepts.

  • Python and other scripting language expert

Required Qualifications:  


  • Bachelor’s degree or equivalent experience in Computer Science

  • Utilize your software engineering skills including Spark, Python to Analyze disparate, complex systems and collaboratively design new products and services

  • Integrate new data sources and tools

  • Implement scalable and reliable distributed data replication strategies

  • Ability to mentor and provide direction in architecture and design to onsite/offshore developers

  • Collaborate with other teams to design and develop and deploy data tools that support both operations and product use cases

  • Perform analysis of large data sets using components from the Hadoop ecosystem

  • Own product features from the development, testing through to production deployment

  • Evaluate big data technologies and prototype solutions to improve our data processing architecture

Technical Skills


























SNo Primary Skill Proficiency Level * Rqrd./Dsrd.
1 PySpark PL1 Required
2 Google Cloud Platform PL1 Required
3 Azure PL1 Required

 

* Proficiency Legends






















Proficiency Level Generic Reference
PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.
PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.
PL4 The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.