Top SQL Jobs in Hyderabad

The consultant will work on PeopleSoft HCM or FSCM projects, requiring 4+ years of experience in technical areas like PeopleCode, SQL, and Integration Broker.

Develop and maintain Python applications, collaborate with teams, write clean code, troubleshoot, participate in code reviews, and stay updated on industry trends.

Develop customer-facing automation solutions, contributing to design, coding, and troubleshooting, while collaborating with stakeholders on technical issues.

As an Associate Test Engineer, you'll design exploratory tests, validate data, test APIs, and ensure software reliability for enterprise clients.

The Senior Data Analyst will analyze complex datasets, develop analytical frameworks, enhance data processes, and provide actionable insights to support strategic initiatives across the organization.

The Business Development Manager will build and lead a global SDR team, manage pipeline generation, and optimize processes while driving performance metrics and team development.

The Google Analytics Specialist will analyze website data, optimize tracking strategies, and provide insights for data-driven decisions. Responsibilities include enhancing Google Analytics setups, ensuring data integrity, and collaborating with teams for seamless data integration.

The Data Annotator will be responsible for annotating data, ensuring quality, collaborating with teams, and maintaining records while meeting deadlines.

Develop and maintain scalable software solutions for the mortgage industry, collaborating with cross-functional teams and shaping engineering strategies.

Design, develop, and maintain backend services and APIs for the IAM platform, collaborating with teams to ensure scalability and security.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

The role includes designing, developing, and maintaining scalable full-stack applications for a healthcare insurance platform, focusing on performance and compliance.

Assist in designing and building data pipelines, write SQL and Python code for data manipulation, and support data extraction efforts.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.