Senior Cloud Data Architect

2 days ago

Kottayam, Kerala, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 24,00,000
Job Summary

Azure Data Engineer is a pivotal role that necessitates expertise in architecting, developing, testing, and maintaining large-scale data processing systems. The ideal candidate will have experience with cloud-based data platforms, including Azure Data Factory (ADF), Azure Databricks (ADB), and Apache Spark.

The successful professional will collaborate closely with cross-functional teams to design and implement data pipelines, optimize data processing, and ensure high-quality data delivery. Effective communication skills are essential for interacting with stakeholders, encompassing technical and non-technical team members.

The selected individual will possess strong problem-solving abilities, capacity to learn quickly, and adaptability to changing requirements. Experience with SQL, Python, and PySpark is highly desirable. We value innovation and creativity, so if you have new ideas or approaches to enhance our data engineering processes, we'd appreciate your input.

  • Design and develop scalable data pipelines using ADF, ADB, and Apache Spark.
  • Collaborate with stakeholders to identify data processing needs and develop solutions.
  • Optimize data processing for high performance and quality.
  • Maintain and improve existing data processing systems.

We offer a dynamic work environment, opportunities for growth and development, and a collaborative team culture. If you're passionate about data engineering and committed to delivering exceptional results, we encourage you to apply.

About the Role:

This position requires a detail-oriented individual with excellent analytical and problem-solving skills. You should be proficient in designing and developing complex data processing systems, as well as collaborating effectively with cross-functional teams.

Key Responsibilities:

  • Design and develop scalable data pipelines using ADF, ADB, and Apache Spark.
  • Collaborate with stakeholders to identify data processing needs and develop solutions.
  • Optimize data processing for high performance and quality.
  • Maintain and improve existing data processing systems.

Requirements:

To be considered for this role, you should have:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • At least 3 years of experience in data engineering, preferably with Azure Data Factory (ADF) and Azure Databricks (ADB).
  • Strong knowledge of SQL, Python, and PySpark.
  • Excellent analytical and problem-solving skills.
  • Ability to collaborate effectively with cross-functional teams.
  • Detail-oriented with excellent organizational skills.

Benefits:

We offer a competitive salary and benefits package, including:

  • Opportunities for growth and development.
  • A dynamic work environment.
  • A collaborative team culture.

What We Offer:

We are committed to providing a supportive and inclusive work environment that fosters growth, collaboration, and excellence. If you're passionate about data engineering and committed to delivering exceptional results, we encourage you to apply.

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