Big Data Engineering Specialist

2 days ago

Agra, Uttar Pradesh, India beBeeBigDataEngineer Full time US$ 1,00,000 - US$ 1,20,000

Data Engineer Job Description

Job Title:

Senior Data Engineer

Description:

We are seeking a highly skilled Senior Data Engineer to design, construct, and optimize large-scale data processing systems that enable advanced analytics and business intelligence.

In this role, you will work closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our Databricks solution.

Your responsibilities will include designing, developing, and maintaining scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.

You will also architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.

Key Responsibilities:

  1. Design, develop, and maintain scalable and robust data pipelines.
  2. Architect and implement data warehouses, data lakes, and other storage solutions.
  3. Optimize data architectures and workflows for performance, scalability, and cost-efficiency.
  4. Collaborate with data scientists and analysts to understand data requirements.
  5. Ensure data quality, integrity, and security by implementing best practices in data governance and management.
  6. Develop and maintain documentation for data systems.
  7. Mentor and guide junior data engineers, providing technical leadership and support.
  8. Stay current with emerging technologies and trends in data engineering.
Required Skills and Qualifications:

To be successful in this role, you should have:

  • A Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of experience in data engineering or related fields, with a focus on large-scale data systems.
  • 3+ years of experience with Databricks.
  • Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience with ETL tools and frameworks and data pipeline orchestration.
  • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
  • Strong understanding of data warehousing concepts, data modeling, and schema design.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work effectively in a team-oriented environment.
Benefits:

This is an excellent opportunity to grow your career as a Senior Data Engineer in a dynamic and innovative company.

If you're passionate about working with large-scale data systems and collaborating with a talented team, we'd love to hear from you.

Don't miss out on this chance to take your career to the next level

Others:

Please submit your application, including your resume and a cover letter, through our website.

We look forward to hearing from you

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