8 Brtools Jobs

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

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant, SAP Basis Administrator! Responsibilities: . SAP Basis Administrator on SAP HANA and S/4 HANA including 2-5 years in Public or Private Cloud (AZURE or AWS) . Deep knowledge of SAP Basis tasks: technical planning, installations, and configurations (SAP S/4 HANA, FIORI, SLT, SOLMAN, SAP Router), upgrades, OS/DB migrations, Unicode conversions for SAP NetWeaver platform, SSO configuration, installation of SSL certificates. familiar with BRTOOLS for Space management. . Applying Support Package, Kernel patch upgrade, TMS configuration and Transport administration (Transport strategy), maintaining of operation modes and profile parameters, background job management. . Experience in SAP Backup and Recovery. . Mastery of the HANA knowledge including High Availability and Disaster Recovery. . Hardware, operating systems (LINUX) and networking connectivity required for the SAP environment. . SAP Fiori knowledge is highly desirable. . Experience in system refresh tasks, Client copies (local client copy, client export, client import) . Monitoring SAP: SOLMAN 7.2, systems Logs, Work processes overview, Lock entries, Updates, background jobs, system health check, CloudWatch for AWS part. . Incident Management: Troubleshooting the issues from OS level like work process monitoring, checking logs, checking OSS notes, provide Performance analysis and suggest solution to write the Root Cause Analysis. . Performance optimization and tuning: deep experience with SQL traces to achieve Performance Impact Analysis . Deep knowledge of SAP HANA in-Memory Platform core technology, including architecture, landscape design, installation, upgrade, performance tuning and system integration. . Hands on experience of implementation and conversion for S/4HANA solutions. . Experience and deep knowledge of SAP system migration (DMO tool) and upgrades. . AWS administration and infrastructure deployment (S3, EC2, VPC, CloudWatch) . ERP migration from On-Premises to AWS. Qualifications we seek in you! Minimum Qualifications . Graduation: B.Tech/B.E, MBA/MCA Preferred Qualifications/ Skills . Certification in SAP S/4 HANA and OS/DB Migration. . Technical certification: Azure or AWS would be highly beneficial. . Ability to deliver high quality and reliable software by collaborating with team. Outstanding analytical skills, ability to apply expertise to drive complex, technical and highly commercial solutions. Possess good verbal and written communication skills. . Excellent customer facing skills that include conducting compelling technical briefing& demonstrations including issues, status reports and resolving impediments. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

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