Top SQL Jobs in Hyderabad, TG
Interact with stakeholders to understand business needs, develop solutions using SQL, Alteryx, and Python, work on data validations, and provide actionable insights through data analytics. Requires 4-7 years of experience in Data Transformation and Visualization.
Senior Analytics Engineer responsible for using data and analytics to drive operational changes and growth strategies at Warner Bros. Discovery. Develop advanced analytical solutions, build dashboards using tools like Looker and Tableau, and collaborate with cross-functional partners to ensure business logic is properly represented.
Drive direct business impact with executive-level visibility, design technical architecture, work on unique data challenges, grow data engineering skills, build data pipelines, collaborate with data analysts and scientists, establish best practices, assess build vs buy decisions, be a founding member of the team
Ensure adherence to data governance frameworks, enforce data policies, help stakeholders access datasets, manage data lifecycle, identify data integrity issues, train analysts, optimize databases, collaborate with data teams.
As a Principal Analytics Engineer at Warner Bros. Discovery, you will lead data and analytics strategy for various streaming and non-streaming data domains. Responsibilities include working with stakeholders to create data strategy, architect data products, prepare analysis for decision-making, promote data-driven innovation, mentor engineers, and oversee platform support and budget.
Analytics Engineer at Opendoor to drive direct business impact with executive-level visibility, design technical architecture, work on joining various online and offline data sets, grow Data Science and Data Analytics skills, mentor junior team members, collaborate with infrastructure and product engineers, design and monitor scalable data pipelines, establish best practices for data engineering, assess build vs buy tradeoffs for components, and be a founding member of the Data Engineer team.
5+ years experience in building and deploying interactive dossiers and reports. Hands-on experience in creating public objects, advanced metrics, and filters. Strong SQL knowledge and communication skills. Knowledge of MicroStrategy schema development.
Join as a Staff Data Engineer at Crunchyroll's India Operations to advance data engineering capabilities in AWS and GCP ecosystems. Collaborate with stakeholders, mentor data engineers, and ensure data consistency for well-informed decision-making. Build and strengthen global data engineering platforms, focusing on data infrastructure, architecture, and ML job orchestration.
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Manager of Software Engineering at JPMorgan Chase leading multiple teams in developing secure production code, optimizing machine learning models, and integrating ML-driven applications. Responsibilities include guiding software engineers, troubleshooting technical issues, and ensuring operational stability. Required skills include Python, SQL, CI/CD, Github, AWS, Javascript, React.js, and expertise in machine learning algorithms.
The IT Developer (ETL) at Yext will be responsible for the complete ETL development lifecycle, ETL code development and support, documentation, and process improvements in a fully on-site role in Hyderabad, India.
Premier International is hiring an entry-level Data Migration Developer to work directly with clients, understand their data needs, and build custom solutions using SQL, PowerShell, Excel, and VBA. This role involves collaborating with clients in various industries, analyzing data, deriving insights, and staying updated on industry trends.
Perform as a technical data steward, review and optimize data models, analyze source system data for redundancy, work with Application Architects, implement data strategies, and create logical and physical data models using best practices.
Seeking an experienced Sr. Director, Data & Pricing Platform to lead data-driven initiatives and elevate decision-making processes. Responsible for designing and implementing strategies to drive improvement in data efforts, data management, software and ML engineering.
As a Senior Data Engineer at Motive, you will be responsible for building data pipelines, designing data models, and working with multiple teams to deploy robust data operations. The role requires 6+ years of experience in Data Engineering and strong skills in SQL, Python, and modern data engineering technologies.
Work as a Data Engineer at Warner Bros. Discovery to create data technology stacks, optimize data technologies, and shape digital data strategy. Responsibilities include ETL processes, database queries, debugging, JIRA user stories, BI tools usage, QA testing, and monitoring data loads. Required qualifications include a Bachelor's degree in computer science or related field, 5-8 years of data engineering experience, knowledge of various data sets and programming languages, and expertise in MPP databases and AWS cloud services.
Looking for a Sr. Staff Data Engineer to build a state-of-the-art data platform for various data-driven use cases across the organization. Responsibilities include translating business requirements into engineering architecture, building software for event-driven data processing, storage, and serving through APIs, and exploring and utilizing data through analytics and data mining.
Work as a Data Engineer at Warner Bros. Discovery to develop data technology stack for end-user insights and digital product strategies. Responsible for data architecture, modeling, ETL processes, database queries, and BI tools. Must have strong experience in SQL, Python, AWS, Teradata, Snowflake, and data modeling.
Collaborate with data migration team, design and develop customized solutions using Microsoft Dynamics 365, integrate systems, provide technical expertise and guidance, conduct assessments, develop documentation, assist with testing and deployment, stay updated on latest technologies.
As a Senior Software Engineer, you will develop high-quality web-based applications for new and existing features, troubleshoot issues across the stack, mentor team members, and stay updated with industry trends. You will work in a fast-paced, collaborative environment striving for excellence and innovation in InsurTech.
Seeking a talented data engineer to design, develop, and maintain data solutions on the cloud platform using Snowflake, Python, SQL, Spark, Tableau, and AWS technologies.
Reference Data Management Operations at J.P. Morgan Asset & Wealth Management is seeking a candidate to provide global asset pricing services and maintain reference data for various stakeholders. This role involves working with internal groups, collaborating with technology teams, and ensuring data quality for trading, risk management, fund valuation, and regulatory reporting.
The Associate Data Governance and Quality Analyst at GitLab will collaborate with cross-functional teams to implement data governance standards, manage data catalog, perform data quality assessments, and contribute to the overall success of the data governance and data quality program and roadmap.
The Manager of Software Engineering is responsible for developing secure and high-quality production code, providing full stack development using Java/J2EE Enterprise Web Development, and migrating legacy applications using technologies like Kubernetes and AWS. Additionally, the role involves working with Spring framework, messaging services like Kafka, and test automation tools/frameworks like BDD and Cucumber.
Seeking a Senior Staff Software Engineer to establish and drive engineering standards, architect and build large-scale distributed systems, guide technology innovation, and provide mentorship to junior engineers. Must have expertise in SQL, No-SQL, cloud technologies (preferably AWS), and Microservices.
The Business Solutions Architect is responsible for creating and managing requirements and technical documentation for IRT projects in the life sciences industry. They collaborate with clients to define system requirements, author specifications, and support UAT setup and execution. The role requires 2-4 years of experience in a software business analyst role and in the life science industry, with a focus on IVR, IWR, and IMR platforms.
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