- Maintain knowledge of evolving industry trends, practices, techniques, and standards on Big Data with a focus on AWS cloud technologies and Python/Pyspark from an application development perspective.
- Be aware of DevOps practices and follow appropriate steps/tools to effect code migration during development phase.
- Collaborate with crosscommit teams for implementation of deliverables in all environments.
- Development of code and design to meet evolving needs while adhering to policy and standards.
- Write test cases for Unit testing and Functional testing when the application is developed
- Conduct and participate in coding and design reviews.
- Manage test plan & risks through development phases to implementation, ensure zero defects are introduced into the production environment.
- Ensure required documentation for projects and/or enhancements are created and updated.
- Monitor and support the production environment applications to ensure optimum stability and performance prior to handing over the code to operations team.
- Be aware of datawarehousing concepts and different facts/dimensionbased modelling mechanisms for implementing in a Datalake environment.
- Bachelor's degree in computer science, Engineering, or related field; or equivalent work experience.
- Excellent handson experience in AWS Data technologies Glue, S3, Athena, EMR, IAM etc.
- Hands on experience in Python and PySpark.
- Python as a language is practically usable for anything, we are looking for application Development and Extract/Transform/Load and Data lake curation experience using Python.
- Hands on experience in version control tools like Git.
- Worked on Amazon's Analytics services like Amazon Athena, DynamoDB and AWS Glue
- Worked on Amazon's Compute services like Amazon Lambda, Amazon EC2 and Amazon's Storage service like S3 and few other services.
- Experience/knowledge of bash/shell scripting will be a plus.
- Has built ETL processes to take data, copy it, structurally transform it etc involving a wide variety of formats like CSV, fixed width, XML and JSON.
- Have worked with columnar storage formats
- Parquet, Avro, and ORC etc.
- Hands on experience in tools like Jenkins to build, test and deploy the applications.
- Excellent debugging skills.
- Ability to quickly perform critical analysis and use creative approaches for solving complex problems.
- Strong academic background.
- Excellent written and verbal communication skills, and strong relationship building skills.
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Data Engineer - bangalore, India - IBU Consulting
Description
Job Description :
Duties and Responsibilities :
Skill requirements:
Mandatory Skill Set :