Senior Big Data Developer

2 days ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 25,00,000

Job Opportunity: Data Engineer

About the Role

We are seeking a highly skilled data engineer to join our team in shaping the future of technology and product development.

The ideal candidate will be part of a fast-paced, entrepreneurial environment focused on delivering innovative marketing capabilities.

The team is responsible for marketing campaign tracking, leveraging large-scale data engineering technologies such as Adobe Analytics, Google Analytics, SQL, PySpark, GCP, Big Query, Data Proc, Hive, Kafka & Java.

  • The successful candidate will design, develop, solve problems, debug, evaluate, modify, deploy, and document software and systems that meet customer-facing applications, business applications, and internal end-user needs.
  • This high-energy engineer must have expertise in application design, software development, and automated testing.
  • Strong programming knowledge in SQL, PySpark, Data Proc, Big Query, with hands-on experience in Big Data technologies (Spark, Hive)
  • Understanding and experience with UNIX / Shell / Perl / Python scripting Database query optimization and indexing Web services design and implementation using REST / SOAP and Java is a plus.
  • Experience collaborating with business to drive requirements/Agile story analysis.
  • Experience with design and coding across one or more platforms and languages as appropriate.
  • Bonus skills: Machine learning/data mining Object-oriented design and coding Adobe Marketing Campaign products
Responsibilities

Develop and maintain large-scale data processing pipeline using PySpark, Data Proc, Big Query, and SQL.

Use Big Query and Data Proc to migrate existing Hadoop/Spark/Hive workloads to Google Cloud.

Proficient in Big Query to carry out batch and interactive data analysis.

Function as member of agile team by contributing to software builds through consistent development practices (tools, common components, and documentation).

Develops and tests software, including ongoing refactoring of code, and drives continuous improvement in code structure and quality.

Enable the deployment, support, and monitoring of software across test, integration, and production environments

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