Cognizant Walk In Interview Data Engineer. Candidates with relevant revelations in ETL, information pipelines, and cloud technology are invited. Positions are open for instant joining. Walk-in records: Location and date to be shown Freshers with sturdy analytical competencies are also welcome. Don’t pass over this possibility to sign up for Cognizant’s dynamic group!
- Job Title Data Engineer
- Salary: Not Disclosed
- Location Hyderabad
- Company: Cognizant
- Qualifications: Contact – Yuvarani
- Experience: 4 – 9 years
Walk-In Details:
Date: Time: 14th December ,.00 AM – 5.30 PM
Contact – Yuvarani
ABOUT COGNIZANT
Cognizant is a first-rate international professional offerings agency that makes spec special consulting, generation, and outsourcing offerings. Headquartered in Teaneck, New Jersey, USA, Cognizant has a robust presence across the globe, with offices in over 40 international locations. The agency serves numerous industries, which include care, banking, financial services, retail, manufacturing, and technology, assisting customers to adapt to the digital generation.
Established in 1994, Cognizant has grown unexpectedly because of its interest in innovation, client-centric methods, and expertise in rising technology which includes synthetic intelligence, cloud computing, the Internet of Things (IoT), and facts analytics. It is usually ranked a number of the world’s most well-known businesses and has a reputation for delivering transformative answers.
Cognizant is likewise recounted for its inclusive artwork way of life, emphasis on worker growth, and dedication to sustainability and business enterprise social responsibility.
Walk-In-Interview: Data Engineer Job Overview
Role Overview:
We are looking for professional Data Engineers who are obsessed with records control, analysis, and optimization. As a Data Engineer, you may play a pivotal position in designing, building, and preserving robust statistics pipelines, ensuring records availability for analytics, and assisting statistics-pushed decision-making techniques. This is an exciting opportunity to paint on challenging tasks and contribute to the company’s success.
About the Company
[Company Name] is a leading [industry, e.g., technology/analytics/consulting] business enterprise dedicated to leveraging data to pressure innovation and remedy complex enterprise-demanding situations. With a worldwide presence and present-day technology stack, we are dedicated to fostering a tradition of increase and excellence.
Key Responsibilities:
- Design, develop, and maintain scalable information pipelines and ETL methods.
- Optimize statistics architecture to ensure excessive performance and reliability.
- Collaborate with facts scientists and analysts to offer easy, organized datasets.
- Develop and manage records integration workflows with diverse sources, which include APIs, and databases.
- Monitor and troubleshoot facts float troubles to make certain machine accuracy and consistency.
- Implement information security and governance protocols to maintain facts integrity.
- Leverage cloud systems which include, Azure, or GCP for information storage and processing.
Required Skills & Qualifications:
- Bachelor’s/Master’s diploma in Computer Science, Data Science, or an associated area.
- Proficiency in programming languages which include Python, Java, or Scala.
- Strong understanding inofQL and database management (e.g., MySQL, PostgreSQL).
- Experience with facts pipeline and workflow tools like Apache Airflow, Luigi, or comparable.
- Hands-on enjoy with massive statistics technology (e.g., Hadoop, Spark).
- Familiarity with cloud environments like AWS, Azure, or Google Cloud.
- Knowledge of facts warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Excellent hassle-fixing competencies and the capability to paint in collaborative team surroundings.
Preferred Qualifications
- Certification in cloud technologies or data engineering gear.
- Experience with real-time facts streaming tools inclusive of Kafka or Kinesis.
- Understanding of machine gaining knowledge of frameworks and their information necessities.
- What to Bring to the Walk-In Interview
Why Join Us?
- Competitive salary and advantages bundle.
- Exposure to modern-day technologies and tools.
- Opportunities for expert improvement and career increase.
- Work with a skilled and numerous crew in an aggressive environment.
How to Apply
Attend the stroll-in interview at the cited date and time. Alternatively, send your CV to [email address] for attention.
Click Here to Apply Now
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