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Big Data Engineer: 5+ yrs.
Immediate Joiner

 

• Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
• Experience in developing lambda functions with AWS Lambda
• Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
• Should be able to code in Python and Scala.
• Snowflake experience will be a plus
• We can start keeping Hadoop and Hive requirements as good to have or understanding of is enough rather than keeping it as a desirable requirement.

Role Specific Responsibilities
 Interfaces with other processes and/or business functions to ensure they can leverage the
benefits provided by the AWS Platform process
 Responsible for managing the configuration of all IaaS assets across the platforms
 Hands-on python experience
 Manages the entire AWS platform(Python, Flask, RESTAPI, serverless framework) and
recommend those that best meet the organization's requirements
 Has a good understanding of the various AWS services, particularly: S3, Athena, Python code,
Glue, Lambda, Cloud Formation, and other AWS serverless resources.
 AWS Certification is Plus
 Knowledge of best practices for IT operations in an always-on, always-available service model
 Responsible for the execution of the process controls, ensuring that staff comply with process
and data standards
Qualifications
 Bachelor’s degree in Computer Science, Business Information Systems or relevant experience and
accomplishments
 3 to 6 years of experience in the IT field
 AWS Python developer
 AWS, Serverless/Lambda, Middleware.

 Strong AWS skills including Data Pipeline, S3, RDS, Redshift with familiarity with other components
like - Lambda, Glue, Step functions, CloudWatch
 Must have created REST API with AWS Lambda.
 Python relevant exp 3 years
 Good to have Experience working on projects and problem solving with large scale multivendor
teams.
 Good to have knowledge on Agile Development
 Good knowledge on SDLC.
 Hands on AWS Databases, (RDS, etc)
 Good to have Unit testing exp.
 Good to have CICD working knowledge.
 Decent communication, as there will be client interaction and documentation.

Education (degree): Bachelor’s degree in Computer Science, Business Information Systems or relevant
experience and accomplishments
Years of Experience: 3-6 years
Technical Skills
 Linux/Unix system administration
 Continuous Integration/Continuous Delivery tools like Jenkins
 Cloud provisioning and management – Azure, AWS, GCP
 Ansible, Chef, or Puppet
 Python, PowerShell & BASH
Job Details
 JOB TITLE/JOB CODE: AWS Python Develop[er, III-Sr. Analyst
 RC: TBD
 PREFERRED LOCATION: HYDERABAD, IND
 POSITION REPORTS TO: Manager USI T&I Cloud Managed Platform
 CAREER LEVEL: 3
Work Location:
Hyderabad

Experience : 3 to 7 Years
Number of Positions : 20

Job Location : Hyderabad

Notice : 30 Days

 

1. Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight

2. Experience in developing lambda functions with AWS Lambda

3. Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark

4. Should be able to code in Python and Scala.

5. Snowflake experience will be a plus

 

Hadoop and Hive requirements as good to have or understanding of is enough.