2-4 years of experience in Hadoop programming, HDFS, and pyspark for data warehouse projects.
Proficient in Shell scripting for automation tasks.
Experience with Angular and Power BI for UI development.
Strong communication and documentation skills necessary for collaboration and reporting.
Ability to work independently and as part of a team in flexible time zones.
Familiarity with database systems like Oracle and SQL Server is advantageous.
Knowledge of automation and CI/CD tools like Autosys and Jenkins is a plus.
Responsibilities
Develop and implement automation frameworks for testing, focusing 70% of time on these efforts.
Conduct manual testing for 30% of the time until automation is fully realized.
Analyze requirements and design automation solutions to validate data integrity post-development.
Collaborate with development teams to ensure successful data loading and processing.
Maintain clear documentation of processes and communicate technical solutions effectively to team members.
Work in varied time zones as required, demonstrating flexibility in collaboration.
Execute multiple tasks concurrently, ensuring timely closure of all responsibilities.
Benefits
Work with a cutting-edge technology stack in a pivotal quality engineering role.
Gain exposure to a collaborative environment that values flexibility and independence.
Opportunities to enhance technical skills in emerging technologies like Hadoop and Azure.
Be part of a company that prioritizes innovative testing solutions and automation.
Full Job Description
Role description
Job Title: Sr. Big DATA Developer
Work Location
Irving TX
Job Description:
Mandatory Karat Interview
This role is for Quality Engineering team where 70percent of effort will be for developing automation frameworks for testing Remaining 30percent effort will be on manual testing until its fully automated
Exp 2 to 4 Years Must have good technical experience and should be able to provide technical solutions for multiple modules in parallel on need basis and bring the task to closure on time
At least 2 years of development work experience in Hadoop programming HDFS using pyspark Hive based Data warehouse projects and with good Shell Scripting experience
Responsible for understanding requirements and developing automation solutions to validate the data loaded by Development team
Expecting to have some UI Angular Power BI experience as well Excellent communication and documentation skill
Very good at team playing and flexibility to work in different time zones based on project needs
Should be able to work independently
Prior Experience to any Databases like Oracle SQL Server ETL will be added advantage
Nice to Have DQ Experience Autosys Jenkin RLM etc Proactive and have good communication skills to articulate technical issues Exposure to Confluence JIRA
