10 Linksql Jobs

Role: Senior Data Engineer Job Location: Hyderabad, Indore, Ahmedabad (India) Notice Period: Immediate joiners or within 15 days preferred Primary Skills: MSSQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.

Primary Skills: MSSQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.

Role: Senior Data Engineer Notice Period: Immediate joiners or within 15 days preferred Primary Skills: MSSQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.

Role: Senior Data Engineer Notice Period: Immediate joiners or within 15 days preferred Primary Skills: MSSQL, Redshift, SnowflakeT-SQL, LinkSQL, Stored ProceduresETL Pipeline DevelopmentQuery Optimization & IndexingSchema Design & PartitioningData Quality, SLAs, Data RefreshSource Control (Git/Bitbucket), CI/CD,Data Modeling, VersioningPerformance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake Optimize complex queries, stored procedures, indexing, and performance tuning Build and maintain robust data pipelines to ensure timely, reliable delivery of data Own SLAs for data refreshes, ensuring reliability and consistency Collaborate with engineers, analysts, and DevOps to align data models with product and business needs Troubleshoot performance issues, implement proactive monitoring, and improve workflows Enforce best practices for data security, governance, and compliance Utilize schema migration/versioning tools for database changes What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field 8+ years of experience in database engineering or backend data systems Expertise in MySQL, Redshift, Snowflake, and schema optimization Strong experience in writing functions, procedures, and robust SQL scripts Proficiency with ETL processes, data modeling, and data freshness SLAs Experience handling production performance issues and being the go-to database expert Hands-on with Git, CI/CD pipelines, and data observability tools Strong problem-solving, collaboration, and analytical skills

Role: Senior Data Engineer Job Location: Hyderabad, Indore, Ahmedabad (India) Notice Period: Immediate joiners or within 15 days preferred Share Your Resume With: Current CTC Expected CTC Notice Period Preferred Job Location Primary Skills: MSSQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills. If youre interested and meet the above criteria, please share your resume with your current CTC, expected CTC, notice period, and preferred job location. Immediate or 15-day joiners will be prioritized.

Role: Senior Data Engineer Job Location: Hyderabad, Indore, Ahmedabad (India)Notice Period: Immediate joiners or within 15 days preferred Share Your Resume With: Current CTC Expected CTC Notice Period Preferred Job Location Primary Skills: MSSQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.

Role: Senior Data Engineer Job Location: Hyderabad, Indore, Ahmedabad (India)Notice Period: Immediate joiners or within 15 days preferred Share Your Resume With: Current CTC Expected CTC Notice Period Preferred Job Location Primary Skills: MSSQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.

Notice Period: Immediate joiners or within 15 days preferred Share Your Resume With: Current CTC Expected CTC Notice Period Preferred Job Location Primary Skills: MS SQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.

Notice Period: Immediate joiners or within 15 days preferred Share Your Resume With: Current CTC Expected CTC Notice Period Preferred Job Location Primary Skills: MS SQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.

Primary Skills: MSSQL, Redshift, Snowflake T-SQL, LinkSQL, Stored Procedures ETL Pipeline Development Query Optimization & Indexing Schema Design & Partitioning Data Quality, SLAs, Data Refresh Source Control (Git/Bitbucket), CI/CD Data Modeling, Versioning Performance Tuning & Troubleshooting What You Will Do: Design scalable, partitioned schemas for MSSQL, Redshift, and Snowflake. Optimize complex queries, stored procedures, indexing, and performance tuning. Build and maintain robust data pipelines to ensure timely, reliable delivery of data. Own SLAs for data refreshes, ensuring reliability and consistency. Collaborate with engineers, analysts, and DevOps to align data models with product and business needs. Troubleshoot performance issues, implement proactive monitoring, and improve workflows. Enforce best practices for data security, governance, and compliance. Utilize schema migration/versioning tools for database changes. What Youll Bring: Bachelors or Masters in Computer Science, Engineering, or related field. 8+ years of experience in database engineering or backend data systems. Expertise in MySQL, Redshift, Snowflake, and schema optimization. Strong experience in writing functions, procedures, and robust SQL scripts. Proficiency with ETL processes, data modeling, and data freshness SLAs. Experience handling production performance issues and being the go-to database expert. Hands-on with Git, CI/CD pipelines, and data observability tools. Strong problem-solving, collaboration, and analytical skills.