Expert - AWS Redshift operations

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.

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.

Primary Location: IN-Karnataka-Bangalore

Schedule: Full-time

Unposting Date: Ongoing,