15 Db Upgrade 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.

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.

We are looking for a skilled professional with 9 to 12 years of experience in SAP S4H data migration to join our team. The ideal candidate will have a strong background in SAP systems and data migration. Roles and Responsibility Design, develop, and implement data migration solutions using SAP S4H. Collaborate with cross-functional teams to identify and prioritize data migration requirements. Develop and maintain detailed documentation of data migration processes and procedures. Troubleshoot and resolve data migration issues efficiently. Ensure data quality and integrity during the migration process. Provide training and support to end-users on new data migration tools and processes. Job Requirements Strong knowledge of SAP S4H and its applications. Experience with data migration tools and technologies. Excellent problem-solving and analytical skills. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Familiarity with industry standards and best practices for data migration. .

Skill SAP BASIS Experience 6+ Years Location- BANGALORE Notice Period Immediate Joiners Employee type C2H Please Share your Updated CVs Skills: SAP BASIS / Database Administration. Must have experience in SPS, EHP, Version and Kernel upgrade (At least 2 from this is mandatory)Must have experience in working S4HANA, BW4/HANA Installation, BPC, AO etc., Upgrades from 1909 to 2020 etc.,Must have experience in ABAP/JAVA patching and upgrade.Must have experience in DB2/HANA/Oracle Database administration skills (At least 2 from this is mandatory)This role requires to be a Technical Expert (SME level to Expert Level), worked with Large Global Enterprise. Extensive hands on S4HANA, Fiori Administration, HADR, SAP ECC, BI, SOLMAN, JAVA systems, Support / Project. Should have self-follow-up on task completion and should be able to attend customer calls independently.Must have deep hands-on experience in Unix / Linux and Windows systems and troubleshoot Unix shell scriptsMust have hands on experience on system refresh using HANA, Oracle/DB2 backup/restore method and system copiesMust have done DB upgrades, version and fix pack upgradesShould have experienced in Handling the L3 SAP Basis tickets,Should have good skills in troubleshooting in SAP and OS issues related to SAPGood knowledge in Solution Manager 7.2 managed system setup, system recommendation, DVM, ChaRM etc.Work experience in OpenText Archive Administration is an added advantage.Must have worked on BW, BWA, BO system. Good knowledge is required on source system connection setup from BW and should have good knowledge in process chain monitoring and troubleshooting.Should have good knowledge in BEX, BO (business explorer) installation and setup.Good knowledge in working with sltoolset tools like SPAM, SUM (Software Update Manager), SWPM etc for different implementation scenarios.Should have good knowledge in EP portal administration and monitoring and SSO configuration.Should have good communication skills and capable enough arrange discussion with clients and co-ordinate tasks with different stakeholders.Should be able to take up challenges on his own without any external help, should be able to handle and lead a team with expertise and guidance.Extensive knowledge on the usage of maintenance optimizer/planner,Experience in working with tools like BMC Remedy, Control-M and US TAXWARE will be an added advantage.Good knowledge in Wily Introscope, Solution Manager Diagnostics is preferable.Good to have essential AWS services knowledge. If you are interested, please Share below details and Updated Resume Matched First Name Last Name Date of Birth Pass Port No and Expiry Date (Mandatory ) Alternate Contact Number Total Experience Relevant Experience Current CTC Expected CTC Current Location Preferred Location Current Organization Payroll Company Notice period Holding any offer

Job Description PRIMARY SKILL - db2 dba G... by Yadav, SanjeevYadav, Sanjeev9:58 AM Job Description PRIMARY SKILL - db2 dba Good DB2 Architectural knowledge. Databases Administration - DB2 LUW Support critical production environment. Aware of databases Monitoring & performing health check Monitoring of Ticketing tool. Ready to work in all shifts. Good knowledge in HADR DB Upgrades and Fix Pack implementation . DB backup and recobvery Good on troubleshooting related to database issueBasic knowledge in ( optional)TSAPT

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

Good understanding & Knowledge on SAP HANA Database architecture. Knowledge on Basic Linux operating system. HANA Installation, Upgrade, Renaming of HANA instance as part of Administration. Knowledge on HANA Backups and recovery concepts using traditional and Backint method. Performing DB restarts and troubleshooting issues related to same on MDC/Non-MDC environment [using both OS level commands & studio]. Installing HANA 2.0 MDC end to end. Performing DB Client upgrade, add-on installations and handling issues related to same. Hana Version upgrade to different SPs in HANA 2.0 box. Required expertise on monitoring the alerts triggered from HANA studio and take necessary action to suppress the same. Applying licenses for HANA systems using OS/Studio environments. Audit log management and enable audit log for users. Enable/disable different types of traces for performance analysis. Performing end-end system health checks. Experience on HANA user management. Troubleshooting skills on issues related to Backup-recovery, Memory, CPU utilization and DB Performance tuning. Parameter configuration changes in HANA DB. Performing backup recovery and point in time recovery for both MDC and Non-MDC systems. Handling HANA Outages like system down, system hang and slowness situations by meeting required SLAs. Handling the P1 and P2 related incident and provide the timely solution to customer by meeting required KPI’s. Driving the shift by taking shift lead responsibility is an added advantage.

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