Description
& Summary: -Design, develop, and maintain scalable big data solutions.Responsibilities:
-Utilize Hive for data warehousing and querying.
-Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
-Ensure data quality and integrity throughout the data lifecycle.
-Monitor and troubleshoot data workflows to ensure optimal performance
Mandatory skill sets:
-Proficiency in Python: Strong programming skills in Python for data manipulation and analysis.
-SQL Expertise: Advanced knowledge of SQL for querying and managing databases.
-PySpark: Experience with PySpark for big data processing.
-Hadoop: Hands-on experience with Hadoop ecosystem components.
-Hive Basics: Understanding of Hive for data warehousing and querying.
-HDFS: Proficiency in HDFS for data storage and management
Preferred skill sets:
-Hands on experience for SAP BW for almost 4-7 years of experience.
-Problem-Solving Skills: Ability to solve complex data problems and optimize workflows.
-Collaboration: Strong communication and teamwork skills to work effectively with cross-functional teams.
Years of experience required:
-4-7 years experience on SAP BW.
Education qualification:
-B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.)
Education
Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications
Required Skills
Extract Transform Load (ETL), Structured Query Language (SQL) DevelopmentOptional Skills
Amazon Web Services (AWS), Microsoft AzureDesired Languages
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date