19 Dr Testing Jobs

We are hiring a skilled SAN & Storage Administrator to join our team in Navi Mumbai with at least 5 years of relevant experience in storage infrastructure management. A. Administration & Monitoring Daily management of SAN & storage environments. Collaborate with customer storage support teams. Participate in troubleshooting tasks and workflow enhancements. Manage storage operations and systems-level maintenance. Track storage usage trends and plan capacity. Maintain documentation, reporting, and procedures. Perform storage allocations to server infrastructure. B. Infrastructure Event Management Capacity management and trend analysis. Monitor SAN switch and storage subsystem capacity. Analyze performance and support future growth planning. C. Problem Resolution & RCA Conduct preliminary diagnostics and documentation. Coordinate with Hitachi Global Support for incident management. Maintain compliance with change management policies. D. Maintenance & Implementation Perform routine storage maintenance per Hitachi standards. Manage the implementation of additional storage infrastructure and services. E. Mentorship Train and mentor junior administrators. F. Solution Design Oversee installation, configuration, and de-provisioning of storage solutions. G. Performance Management Tune and analyze capacity; recommend remediation strategies. H. Disaster Recovery & Continuity Develop and maintain DR procedures and documentation. Manage data movement, replication, and DR testing. Skill Requirements 5+ years of hands-on experience with SAN & NAS storage infrastructure. Expertise with Hitachi Storage systems and Brocade Switches. Exposure to Unified Compute Platforms and OS-level operations (including basic cluster management). Strong communication skills (both verbal and written). How to Apply Send your updated resume along with the following details to: navaneetha@suzva.com Current CTC Expected CTC Notice Period Location

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 4+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 7+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 6+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 5+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

The Principal, IT Resiliency Architect will be responsible for evaluating and designing complex IT infrastructure solutions across a vast range of technologies within the IT Resiliency Team. The IT Resiliency Team is dedicated to ensuring the resilience and continuity of our operations in the face of unforeseen disasters. The architect must have strong program management skills to work with cross function infrastructure and application owners to assess, design, and implement technical solutions for the Disaster Recovery (DR)program. The architect should be able to troubleshoot, identify root cause, and seek a formal solution with other teams as required. This hands-on role must have experience with data center, networking, security, storage, virtualization, database, and middleware technologies. Responsibilities As an expert, the IT Resiliency Architect will be on a team that will deliver end-to-end technical resiliency solutions to the organization, utilizing the latest technologies and leveraging automation mechanisms for reducing recovery times. The Resiliency Architect should have a solid understanding of program management and leadership skills to engage various teams. Responsibilities for this role include: Infrastructure Architect Independently implements technical solutions and delivers projects end-to-end working autonomously, while providing updates to stakeholders. Performs analysis of complex functional and business requirements. Prepares and delivers solutions for others. Leads design activities, working with architects from various technical teams. Evaluates, develop, and oversee resiliency strategy across development and engineering teams. Advances the DR automation effort of applications and business capabilities. Collaborates closely with teams participating in strategic planning, facilitating cross-team solution reviews, and communicating strategy direction. Maintains an effective technical network across technical SMEs and architects for multiple service areas. Disaster Recovery Framework Documentation: Maintain accurate documentation of disaster recovery plans, procedures, and incident response protocols. Incident Response: Lead disaster recovery efforts in the event of a disruption, coordinating the response and recovery activities. Training and Awareness: Develop and provide training to employees on disaster recovery and business continuity procedures to enhance preparedness. Continuous Improvement: Stay updated on industry best practices, emerging technologies, and evolving threats to continually improve disaster recovery capabilities.

Storage Administrator1 Experience on FAS 8000 series, FAS 2500,AFF series Experience on OCUM, OCI, Oncommand insight, ontap FSX Aggregate Management, Volume management, CIFS, NFS Switch configuration CN1610 or BES 5348. Troubleshooting the configuration experience required NetApp Snapmirror ,Snapshot technologies, DR testing, DR Configuring SAN protocol iscsi, firmware upgrade, ontap upgrade Zoning on Cisco switch 5k mostpreferrable

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 4+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 5+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 8+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 6+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 7+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 9+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 8+ years of experience in database administration and data engineering. Proven expertise in RDBMS (Oracle, MySQL, and PostgreSQL) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments (AWS, Azure, or GCP). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python, Bash, or PowerShell. DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch, Oracle Enterprise Manager, pgAdmin, Mongo Compass, or Dynatrace. Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL, etc.). Use AWS RDS, Amazon Redshift, Azure SQL Database, or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks (GDPR, HIPAA, etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis, or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Lead disaster recovery (DR) testing initiatives, ensuring that systems can be restored effectively in the event of an outage. You will oversee test planning, execution, and documentation. Expertise in DR testing processes is essential.

Dear Candidate, Hiring a Backup & Recovery Engineer to manage cloud backup infrastructure and ensure data protection. Key Responsibilities: Design and manage backup policies. Automate snapshot management and storage lifecycle. Ensure reliable restores and compliance with SLAs. Required Skills & Qualifications: Experience with AWS Backup, Azure Recovery Vault. Strong understanding of cloud storage tiers and archival systems. Scripting knowledge for automation. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Dear Candidate, Seeking a Cloud DR Specialist to develop and maintain resilient recovery strategies. Key Responsibilities: Design backup and recovery procedures. Conduct regular disaster recovery drills. Ensure RTO/RPO requirements are met. Required Skills & Qualifications: Experience with cross-region replication and snapshots. Knowledge of backup tools (AWS Backup, Azure Site Recovery). Familiarity with compliance and BCP documentation. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

8 years of EPM Suite experience providing training to end-users, Subordinates & New Resources in the EPM modules Design, Document, Test, Deploy and Maintain EPM, HFM, Planning & ARM Applications. Design & Develop Solutions on EPM application/artifacts such as business rules, calc scripts, reports, and rule scripts. Own & assist in periodic DR testing, SOX related activities and maintain proper documentation on all administration related processes

Senior Disaster Recovery Analyst/Architect. 5-7 Yrs (DR Cordinator) 9-12 Yrs (DR Architect) Location - Bangalore,PAN India Position Purpose: Executes and supports the enterprise IT Disaster Recovery and I/S Crisis process with the goal to ensure that the Enterprise Critical I/S services and work processes can be resumed with agreed upon service and resumption levels. Leads in Disaster Recovery requirements gathering and recommends recovery strategies and options. Facilitates the implementation of recovery solutions. This role will support the delivery of Disaster Recovery Testing, Scope, Planning, communications, and test facilitation. Develops and implements a business recovery plan and procedure; review, revise, and expand existing plans and protocols. Develops, maintains, and implements the Enterprise Disaster Recovery Plans, risk assessments, and application and technical strategies together with other teams. Conducts risk assessments for various departments and functions, analyzing potential business impact of unpredictable business interruptions such as natural disasters, security breach, legal claims, and market disruptions. Drives the alignment of IT organization priorities and plans with key business objectives. Identifies, troubleshoots and implements recovery operations and methods to allow the company to function at limited or partial capacity in the event that part or all of the infrastructure is damaged or destroyed. Creates and facilitates practice drills for plan execution. Develops and track program metrics (as developed) to show activities and progress. Reviews, configures and maintains business continuity and crisis management tools. Coordinates with health, safety, and security staff and local, state, and federal agencies to align the organization's emergency management plan with established best practices and community standards. Supports the event of a business disruption to manage the response coordination and communications. Performs other duties as assigned. Complies with all policies and standards.