AWS Administrator

2 days ago

Pune, India Wipro Full time
About the job
Role: AWS Redshift Database administrator
Experience: Overall 5 - 8 years (4-5 years relevant)
Location: Bangalore/India
As a database administrator, you will work with diverse data analytics technologies on the cloud. Technical Responsibilities include deploying, managing, and operating scalable, highly available, and fault-tolerant databases on AWS. Strong verbal and written communication skills with ability to articulate results and issues to internal and client teams. Proven ability to work creatively and analytically in a problem-solving environment.
Primary Responsibilities Include
Own the architecture for the AWS Redshift clusters across all environments.
Own the database administration of the Enterprise Data Warehouse on AWS Redshift.
Own the architecture for our Enterprise Data Warehouse on AWS Redshift including cluster and node topology, configuration, and sizing.
Automate provisioning, operation, monitoring and troubleshooting of the database and data lake infrastructure.
Determine, enforce and document database policies, procedures and standards.
Keep up to date with emerging cloud technology trends on AWS Redshift.
Define design standards for AWS Redshift for use by development and support teams. Partner with the Data Architect to define data modeling standards.
Partner with data engineers on query design during projects and while performing analytics, and to analyze, troubleshoot and optimize application and ad-hoc queries in production.
Provide operational management for our Enterprise Data Warehouse (EDW) in AWS Redshift across all environments, including configuration, maintenance, code migration, and incident response.
Identify and execute cost, performance, and uptime optimizations.
Partner with the Analysts and Business Partners on data extracts as needed.
Technical Essentials
Expertise in Redshift Administration for managing databases, user tables, indexes, statistics, managing permissions addressing the user issues.
Experienced in core AWS services like EC2, S3, IAM, and VPC.
Experienced with the AWS console and basic command-line tools (AWS CLI).
Familiarity with data processing concepts like ETL/ELT pipelines. Basic experience with Python or Scala for data manipulation.
Excellent and proven knowledge of AWS Redshift and SQL demonstrated through 4+ years in a Redshift DBA role.
Excellent knowledge of related AWS technologies included Aurora, Redshift Spectrum, S3, EMR, DynamoDB and Athena, AWS Lake formation, Glue, AWS data shares, GitHub, PySpark
AWS Certification is preferred.
Experienced with generating various DB health statistics, utilization and right sizing.

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