Top SQL Jobs in Hyderabad, TG
Demonstrated coding skills in Dynamics AX X++ and related technologies, preparation of technical design documents, collaboration with technical teams, adherence to project timelines, delivery of high-quality code, use of collaboration and code management tools, familiarity with Azure services and Power platform tools.
Design, develop, test, release, and maintain components of Zenoti's cloud-based software solution for the beauty and wellness industry. Collaborate with a diverse team to release features, follow agile development practices, and ensure high-quality software that runs at scale. Manage code handling large volumes of data and release new features regularly based on customer feedback.
Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.
The Principal SQL Server Database Administrator will be responsible for designing, implementing, and maintaining complex SQL Server databases to support enterprise applications. Responsibilities include high-availability, scalable, and secure database design, performance tuning, data modeling, and security enforcement. Required skills include proficiency in SQL, T-SQL, database scripting, database design principles, and experience with SQL Server versions and components.
Aryng is seeking a Senior Data Engineer with 5+ years of experience in developing enterprise-class distributed data engineering solutions on the cloud. Responsibilities include implementing data pipelines, working with cloud technologies, and collaborating with clients. Must have a B.S. in computer science or related field. Knowledge in Python, SQL, Big Query, and other data engineering tools is required.
Seeking an experienced Senior Adobe Experience Manager (AEM) Architect to lead the design and implementation of a digital experience platform. Responsibilities include driving the architecture of scalable, secure, and high-performing solutions.
Experienced Data Engineer specializing in Generative AI to establish AI infrastructure, collaborate with Data Scientists, own AI model integration, ensure data governance, and optimize performance. Will innovate in healthcare sector and deploy AI solutions to AWS cloud platform.
The Solution Engineer role at Kayzen involves bridging the gap between technical product offerings and customer needs, focusing on technical integrations, support, client onboarding, collaboration, technical documentation, and training.
Responsible for developing and maintaining data pipelines to ingest, transform, and analyze data. Collaborate with the business team to provide efficient solutions using an enterprise data platform. Design, build, and maintain code, ensure performance, identify and address issues, expand knowledge through research, and comply with quality policies.
Senior Software Engineer on the Insights team at H1, responsible for developing and maintaining software systems to analyze and interpret medical data for healthcare improvements. Collaborate with stakeholders to provide optimal solutions that align with product goals and user needs. Develop algorithms and systems to process and analyze large sets of medical data.
Lead the data migration process for Dynamics 365 F&O implementations, collaborate with teams, develop and implement data migration scripts using ADF and X++, optimize MySQL queries, ensure data quality, lead a team of specialists, monitor progress.
Design, implement, and support data analysis and analytics solutions. Hands-on involvement in high-level design, data architecture, ETL pipeline modules, and analysis techniques. Collaborate with cross-functional teams in an Agile environment to build a high-scale data analytics platform.
Work closely with project teams to drive the use of statistical and data science methods in experimental planning, analysis, and reporting for the development of synthetic molecule formulations. Apply statistical and data science methods to generate business insights for continuous improvement and enhance ways of working.
Design, build, and shape data pipelines and infrastructure to support a modern data lake for a clinical trial enrollment platform. Work directly with sponsors and external parties on data products. Support internal and external data products by building, scaling, and integrating data processes. Ensure compliance with regulatory frameworks and drive best practices for high-performance systems.
Join ModMed as a Senior Data Analytics Engineer to bridge the gap between business and technical teams, creating trusted data models and products. Collect business requirements, design data models, automate performance metrics, and provide cross-team support. Must have technical knowledge of data systems, experience with data modeling, proficiency in BI platforms, programming skills, and cloud platform experience. Benefits include a positive work environment at a fast-paced Healthcare IT company.
Seeking a Data Steward to join the Data Management team at F5, responsible for executing data change requests, performing data entry, and providing input on data quality initiatives. Must be detail-oriented, analytical, and collaborative.
Altus Group is seeking a Team Lead - Data Solutions to manage people and processes, work closely with stakeholders, and oversee the delivery of high-quality data products in the commercial real estate industry.
As a Principal Data Management Programmer, you will be responsible for developing programs for data validation, managing data review processes, and implementing protocol deviation solutions. The role involves working on clinical trial projects and optimizing data reporting tools. The position requires expertise in SAS, R, Python, database structure, data visualization tools, and AI/ML models. Strong knowledge of regulatory guidelines in data management and drug development is essential.
Responsible for the design, development, maintenance, and optimization of database systems. Works with MySQL, MS SQL, PostgreSQL, and BigQuery. Designs and develops databases, administers and monitors database systems, optimizes SQL queries, performs data migration, tunes database performance, implements data backup and recovery procedures, collaborates with cross-functional teams, and maintains documentation. Utilizes Google BigQuery for data analytics.
Lead the Data Engineering team in implementing cloud data strategies, managing data pipelines, and collaborating on cloud migration initiatives. Responsible for team development, data architecture, and modernizing data solutions. Requires 8+ years of hands-on experience in Data Technologies and 5+ years in a technology lead role within Data Engineering.
Design, develop, and maintain data pipelines and infrastructure using Python, AWS, and Spark. Collaborate with data scientists and analysts to ensure data quality and integrity. Optimize data processing and storage for performance and scalability. Implement data security measures and stay updated with industry trends.
Collaborate with stakeholders to understand data requirements and develop data models. Design data integration processes and data warehousing solutions. Establish data governance policies and procedures. Work with cross-functional teams and stay informed about data modelling trends.
Lead in the creation, expansion, and optimization of data and data pipeline architecture. Support data analysts on data initiatives and ensure optimal data delivery architecture. Create and maintain optimal data pipeline architecture, assemble large data sets, build analytics tools, work with stakeholders, and create data tools for team members.
Lead the support, administration, management, and tuning of multi-terabyte database systems for S&P Global Market Intelligence. Drive key database releases and projects, provide technical expertise in database administration, and ensure high-level support for software performance in relation to the database/product.
As a Data Engineer, you will manage and analyze business data, develop reports and visualizations, ensure data accuracy, provide technical support for BI tools, collaborate with teams, and document analysis processes. Requires 4+ years of experience in data analysis or business intelligence.
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