Minimum 4 years of experience in data engineering or related roles.
Proficiency in Python/PySpark, SCALA, and SQL.
Experience with Spark, Spark Streaming, and Databricks platforms.
Knowledge of data analysis, code versioning (Bitbucket), and software development best practices.
Requirements:
Maintain and support data applications and pipelines.
Develop and integrate software applications following architectural standards.
Collaborate with cross-functional teams including QA and Business Analysts.
Ensure thorough testing, documentation, and management of code releases.
Job description
Job Description:
* Maintain and support the application. Development of data ingestion pipelines. Databricks background required.
* Develop and integrate software applications using suitable development methodologies and standards, applying standard architectural patterns, taking into account critical performance characteristics and security measures.
* Evaluate new features and refractors existing code.
* Must be willing to flex work hours accordingly to support application launches and manage production outages if necessary
* Ensures to understand the requirements thoroughly and in detail and identify gaps in requirements
* Ensures that detailed unit testing is done, handles negative scenarios and document the same
* Work with QA and automation team.
* Works on best practices and documenting the process
* code merges and releases (Bitbucket)
* Collaborate with Business Analysts, Architects and Senior Developers to establish the physical application framework (e.g. libraries, modules, execution environments).
