Job Description
Description
& Summary: A career within….Responsibilities:
- Design and build data pipelines & Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions - Knowledge about the concepts of data lake and data warehouse - Experience working with AWS big data technologies - Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. - Deploy and configure components to production environments - Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQL
Mandatory skill sets:
AWS Data Engineer
Preferred skill sets:
AWS Data Engineer
Years of experience required:
3-8
Education qualification:
B. Tech/MBA/MCA / M. Tech
Education
Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications
Required Skills
AWS DevopsOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
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