Cognizant is Hiring | Virtual Drive on May 17th

We are excited to invite passionate, experienced, and driven Data Engineering professionals to join our dynamic and innovative technology teams at Cognizant. If you are someone who thrives on solving real-world data challenges, enjoys building robust data pipelines, and wants to be part of a forward-thinking organization, this opportunity is for you!

At Cognizant, we work with Fortune 500 companies and leading global enterprises, helping them harness the power of data and analytics to make impactful business decisions. This is your chance to accelerate your career and contribute to cutting-edge data-driven solutions that are shaping the future of industries.


🧑‍💻 Position Details:

  • Role: Data Engineer
  • Experience Required: 3 to 12 Years
  • Job Location: PAN India (flexibility to work from any major city)
  • Interview Mode: Virtual (Video Discussion)
  • Drive Date: 17th May 2025

🔍 What We’re Looking For:

  • Strong expertise in data engineering concepts, including ETL/ELT, data modeling, and data warehousing.
  • Hands-on experience with tools and technologies such as Apache Spark, Hadoop, Kafka, Airflow, Snowflake, Redshift, or similar.
  • Proficiency in SQL and one or more programming languages such as Python, Scala, or Java.
  • Experience in working on cloud platforms (AWS, Azure, or GCP) and deploying scalable data pipelines.
  • Knowledge of DevOps and CI/CD processes for data workflows is a plus.
  • Familiarity with Agile methodologies and working in cross-functional teams.
  • Excellent problem-solving skills, a proactive mindset, and strong communication abilities.

🎯 Key Responsibilities:

  • Design, build, and maintain scalable and reliable data pipelines to support advanced analytics and machine learning.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  • Optimize data delivery and re-design infrastructure for greater scalability and performance.
  • Ensure data quality and integrity across systems.
  • Implement best practices in data governance, security, and compliance.

📌 How to Apply:

🔗 Click here to apply (Mandatory to proceed with your application):
👉 https://lnkd.in/gAdzskSB

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