Lead Data Engineer - Gurgaon - Ameriprise

Job Description

• The Data engineer is responsible for development & maintenance of the Data Lake within the Asset Management technology team
• You should be able to collaborate with technology cross-commits and business teams to code, test and deploy scalable solution and adhering to required quality standards
• You must be a self-starter, think outside the box and enjoy coming up with innovative solutions to solve business and technology issues
• You keep yourself updated on the rapid technological advances and advise leadership how these advances can be leveraged to improve efficiency and enable new functionality
• If you are driven to succeed and prepared to meet the ever-changing needs of our industry, then you are ready for a career at Ameriprise

Duties and Responsibilities:

• Maintain knowledge of evolving industry trends, practices, techniques, and standards on Big Data with focus on AWS cloud technologies and Python/Pyspark from application development perspective.
• Be aware of DevOps practices and follow appropriate steps/tools to effect code migration during development phase.
• Collaborate with cross-commit 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 data-warehousing concepts and different facts/dimension-based modelling mechanisms for implementing in a Datalake environment.

Required Qualifications

• bachelors degree in computer science, Engineering, or related field; or equivalent work experience.
• Excellent hands-on experience in AWS Data technologies Glue, S3, Athena, EMR, IAM etc
• Mandatory - 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 Datalake 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.
• 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.
• Excellent written and verbal communication skills, and strong relationship building skills.

Preferred Qualifications

• Experience/knowledge of bash/shell scripting will be a plus

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Keyskills:   Coding XML Functional testing Shell scripting Debugging Application development JSON Test cases Analytics Python