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Senior Data Architect

2 weeks ago

Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Join a dynamic team as a Data Engineer.

Mumbai, India, is the ideal location for this role.

Job Description:

This is a data engineering position that requires designing, developing, and maintaining scalable data pipelines using PySpark.

The ideal candidate will have strong experience in PySpark and hands-on expertise in building scalable data pipelines.

Key Responsibilities:

  • Designing, developing, and maintaining batch and streaming data pipelines.
  • Implementing complex business logic using Spark SQL, DataFrame, and RDD APIs.
  • Proficient programming skills in Python (preferred) with a strong understanding of data structures, algorithms, and software engineering principles.
  • Developing data pipeline development strategies to meet business requirements.
  • Collaborating with cross-functional teams to identify and prioritize data engineering projects.
  • Staying up-to-date with modern data engineering technologies and best practices.
  • Ensuring data quality, security, and compliance throughout the data pipeline.
Required Skills and Qualifications:

Our ideal candidate will possess the following skills and qualifications:

  • Strong experience in PySpark.
  • Hands-on expertise in building scalable data pipelines using PySpark.
  • Proficiency in using Spark SQL, DataFrame, and RDD APIs to implement complex business logic.
  • Proficient programming skills in Python (preferred), with a strong understanding of data structures, algorithms, and software engineering principles.
  • Knowledge of modern data engineering ecosystems and best practices.
Benefits:

This role offers a unique opportunity to work with cutting-edge technologies and contribute to the success of our organization.

As a member of our team, you can expect:

  • A competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • A collaborative and dynamic work environment.
  • Access to the latest tools and technologies.
Others:

This role involves working on cloud-based data platforms, specifically AWS. The ideal candidate should have experience working with cloud services such as Amazon S3, Glue/EMR, Lambda, and Redshift.