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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.
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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.
• Experienced with data sharing mechanisms like S3 Sharing and Redshift Sharing. Sharing using Lake formation. sharing between accounts, regions
• Automating the repeated DBA tasks.
• An interest and ability to learn new technologies.
• Experience with data processing frameworks like Apache Spark or AWS Glue. Understanding of data warehousing concepts and data quality practices.
• Experienced with AWS serverless services like Lambda, Step Functions, AWS Glue and Redshift Serverless.
• Experience with CI/CD pipelines for automating infrastructure and code deployment.
• Experienced with cloud monitoring and logging services like CloudWatch.
Bonuses
• Ability to multi-task, organize, prioritize, research and resolve issues in a timely and effective manner.
• In-depth knowledge of S3 for object storage and data lakes.
• Understanding of data partitioning and file formats like Parquet or good to have knowledge on OTF / Iceberg
• Understanding of data lineage and data quality tools.
Business / Soft Skills:
• Proven ability and initiative to learn and research new concepts, ideas, and technologies quickly.
• Ability to communicate effectively, both verbal and written, excellent presentation skills.
• Ability to effectively move forward on tasks even with ambiguous or changing requirements.
• Ability to work in a team-oriented, collaborative environment in a global context.
• Willingness and ability to train and teach others.
• Ability to facilitate meetings and follow up with resulting action items.
• Ability to self-manage, prioritize and execute tasks in a high-pressure environment.
• Strong systems/process orientation with demonstrated analytical thinking, organization skills and problem-solving skills.
• The desire for growth and innovation, to bring rapid solutions to business challenges/opportunities.
• Strong consultancy orientation and experience, with the ability to form collaborative, productive working relationships across diverse teams and cultures is a must.
• The ability to work in a centralized/decentralized operating model, with varying implementation partners and implementation owners.
Qualifications
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.
• Experienced with data sharing mechanisms like S3 Sharing and Redshift Sharing. Sharing using Lake formation. sharing between accounts, regions
• Automating the repeated DBA tasks.
• An interest and ability to learn new technologies.
• Experience with data processing frameworks like Apache Spark or AWS Glue. Understanding of data warehousing concepts and data quality practices.
• Experienced with AWS serverless services like Lambda, Step Functions, AWS Glue and Redshift Serverless.
• Experience with CI/CD pipelines for automating infrastructure and code deployment.
• Experienced with cloud monitoring and logging services like CloudWatch.
Bonuses
• Ability to multi-task, organize, prioritize, research and resolve issues in a timely and effective manner.
• In-depth knowledge of S3 for object storage and data lakes.
• Understanding of data partitioning and file formats like Parquet or good to have knowledge on OTF / Iceberg
• Understanding of data lineage and data quality tools.
Business / Soft Skills:
• Proven ability and initiative to learn and research new concepts, ideas, and technologies quickly.
• Ability to communicate effectively, both verbal and written, excellent presentation skills.
• Ability to effectively move forward on tasks even with ambiguous or changing requirements.
• Ability to work in a team-oriented, collaborative environment in a global context.
• Willingness and ability to train and teach others.
• Ability to facilitate meetings and follow up with resulting action items.
• Ability to self-manage, prioritize and execute tasks in a high-pressure environment.
• Strong systems/process orientation with demonstrated analytical thinking, organization skills and problem-solving skills.
• The desire for growth and innovation, to bring rapid solutions to business challenges/opportunities.
• Strong consultancy orientation and experience, with the ability to form collaborative, productive working relationships across diverse teams and cultures is a must.
• The ability to work in a centralized/decentralized operating model, with varying implementation partners and implementation owners.
Schedule: Full-time
Req: 0090XX