9 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. 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. 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. 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. 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. 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. 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. 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

Responsibilities As SAP HANA Database Consultant, you are responsible to installation, configuration, maintenance, and performance tuning of SAP HANA database systems and migrate from one platform to another platform. Design backup and recovery strategies for clients. As a member of IBM Technology Expert Labs, Global Delivery Center #GDC you will be client focused, courageous, pragmatic, and technical to optimize and trailblaze new solutions that address real business challenges.To help achieve this win-win outcome, a 'day-in-the-life' in this role may include, but not be limited to. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise SAP OS/DB Migration Certified and Experience in Migrating Database to HANA Experience in using SAP Tools DISTMON/MigMon/SAPINST System Copy (Homogeneous and Heterogeneous) for Dual Stack/Single Stack(Java/ABAP) SAP Unicode Conversion Experience (Single code/MDMP/Ambiguous Blended Code Page) Full Life Cycle Implementations of SAP on Oracle/DB2, Experience on Hardware Sizing, SAP Services and Database Clustering and DR Setup Experience of Implementation and troubleshooting in SAP Components R/3, ECC, BW/BI, SCM, SRM, CRM, Content Server, BOBJ, Solman, XI, EP, SLD SAP Version Upgrade and Enhancement Pack Implementations Advanced skills in Oracle 9i,10g and 11g design, administration, troubleshooting, SAP Oracle Upgrade, SAP Oracle Administration through Brtools, Oracle Data Guard Configuration and Oracle RMAN knowledge Design, develop and execute strategy for Implementation of large and complex SAP related solutions in Cluster, non cluster, RAC and Non RAC environments Performance tuning on SAP, Database and Unix platforms SAP Solution Manager Setup and Configuration Perform investigative troubleshooting for complex, large & critical client setups Excellent communication and presentation skills that are engaging, compelling, and influential. Minimum of 8-16 years of proven relevant SME experience in supporting similar engagements. Prior experience in complex systems integration projects will be preferable. SAP Certification for Cross Platform migration is MUST. Preferred technical and professional experience Prior experience in complex systems integration projects will be preferable. Should have experience of supporting HANA environments for large clients Create optimized strategy and earn customers confidence for migration of SAP stack from NON–IBM environment to IBM environment or IBM to IBM environments, execute the strategized plan with or without other team members Build / execute / Support the DR Solutions (near DR and DR sites), Zero Data Loss (ZDL) solutions by studying client RPO / RTO objectives, workloads. Take up the assignment for estimating Bandwidth requirement for DR solutions. Undertake complex Architecture and Design work for projects which involves providing inputs to Storage and Server teams for achieving optimal performance. Take up short term assignments of application and database tuning for influencing immediate business outcomes. . Backup solution design and implementation using Oracle RMAN, shell scripts, storage management solutions.