Job Location: Bangalore/Bengaluru
Roles and Responsibilities
As a Python Engineer, you will be trained in Big data Technologies like Spark, Hadoop, Hive, Airflow, SQL on AWS. After the training, You will be working with top notch data engineering leads and seniors in implementing high performing and high quality end to end data pipeline solutions. You will be also be part of Organisational growth in finding and mentoring new talents. You will have the newest and most up to datetools at your disposal.
Responsibilities:
Learn Big Data Technologies in depth during Training
Successfully Complete all assignments on Time.
Demonstrate the details on the completed assignments.
Proactive participation in training sessions in asking logical queries to understand the topics better.
Design and Build Data pipelines in collaboration with Product Owners / BSA, Data Analysts and Business stake holders..
Work with Lead Data Engineers and Junior Data Engineers to ensure quality solutions are implemented with adherence to engineering best practices.
Build Reusable utilities, frameworks and user defined functions
Evaluate and utilize new technologies/tools/frameworks centered around Orchestration Pipelines.
Basic requirements:
Overall 4+ Years of Experience in Python based Data processing applications.
1+ Years of Experience in implementing Real time Data Processing applications using AWS Serverless technologies.
Experience in Database Design and Modelling
Experience in implementing Event Driven Micro services Architecture.
Experience of working in Agile model.
Expert level knowledge on Coding Best Practices.
Expert level experience in SQL.
Highly Motivated to learn and work in Big Data Technologies.
Good Interpersonal Skills.
Excellent verbal and written communication skills in English
Ability to communicate effectively with team members and business stakeholders
Nice to have:
General knowledge/experience of any Big data tools/frameworks.
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