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Data Architect

1 month ago

Bengaluru, Karnataka, India Kognivera It Solutions Private Limited Full time

Seeking an experienced Data Architect with a proven track record in designing and implementing scalable big data solutions on distributed platforms. As a key member of our team, you will be responsible for architecting data products using AWS services, data warehousing tools, and designing data platforms.

About Us

Kognivera It Solutions Private Limited is a forward-thinking company dedicated to leveraging big data and advanced technologies to solve complex business problems and drive innovation. We are committed to building scalable data solutions that meet the evolving needs of our clients.

Job Description

As a Senior AWS Data Engineer, you will work closely with cross-functional teams to develop and manage scalable big data applications on distributed platforms. Your expertise in SQL, Spark, Python, Airflow, Scala, and cloud computing (AWS, GCP, Azure) will be instrumental in architecting data products in streaming, serverless, and microservices architectures.

Key Responsibilities:
  • Develop and manage scalable big data applications on distributed platforms.
  • Partner with cross-functional teams to solve complex problems and identify innovative solutions.
  • Build and maintain positive relationships across product and engineering teams.
  • Influence and communicate effectively with team members and business stakeholders.
  • Quickly pick up new programming languages, technologies, and frameworks.
Requirements:
  • 4+ years of experience in developing scalable big data applications on distributed platforms.
  • Expertise in SQL, Spark, Python, Airflow, Scala, and cloud computing (AWS, GCP, Azure).
  • Experience with Jenkins pipelines, CI/CD processes, and Docker.
  • Proficiency in data warehousing, data modeling, governance, and data architecture.

We offer a competitive salary of $120,000 - $180,000 per year, depending on experience, as well as opportunities for professional growth and development. If you are passionate about big data and are looking for a challenging role that aligns with your skills and interests, please submit your application.