11+ SPARQL Jobs in Hyderabad | SPARQL Job openings in Hyderabad

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Role: GCP Data Engineer

Location: Bangalore. Chennai, Noida, Pune, Hyderabad

Experience: 5 years

Primary skills: Python, NOSQL, GCP concepts like Airflow, Big Query & Spanner, DAG, Composer for large dataset, Tidal tool

Role Descriptions:

Design| build| and maintain scalable data pipelines to support analytics| ML| and operational reporting.

Develop robust data ingestion| transformation| and integration workflows using Python| SQL| and modern data engineering frameworks.

Work with Google Cloud Platform (GCP) services| including Cloud Storage| Dataflow| PubSub| BigQuery| Cloud Spanner and Cloud Functions

Experience building data pipelines or backend data workflows using Python or similar languages

Key Responsibilities:

·       Design, develop, and maintain scalable data warehouse solutions using Snowflake.

·       Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.

·       Develop and support ETL processes using Talend to ensure reliable and efficient data movement.

·       Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.

·       Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.

·       Debug and troubleshoot Python-based data processing scripts and automation workflows.

·       Implement best practices for data quality, testing, deployment, and code reviews.

·       Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.

·       Monitor, optimize, and maintain data warehouse performance and operational stability.

·       Create and maintain technical documentation, data models, and process workflows.

Required Skills and Experience: 

·       Strong hands-on expertise in Snowflake Data Warehouse.

·       Advanced SQL skills with experience handling large-scale datasets.

·       Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.

·       Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.

·       Experience developing and maintaining ETL solutions using Talend.

·       Proficiency in Python for scripting, debugging, automation, and data processing.

·       Experience integrating UI, API, and Data Warehouse workflows.

·       Strong problem-solving and analytical skills.

·       Experience with testing, code reviews, and deployment best practices.

·       Excellent communication and stakeholder management skills.

Job Summary:

We are looking for a skilled and motivated .NET Full Stack Developer with strong expertise in .NET Core, React, and Microservices architecture. The ideal candidate will be responsible for designing, developing, and maintaining scalable, high-performance applications while collaborating with cross-functional teams.

Key Responsibilities:

• Design, develop, and maintain web applications using .NET Core / ASP.NET Core and React.js
• Build and implement microservices-based architecture for scalable systems
• Develop and consume RESTful APIs
• Collaborate with UI/UX designers to implement responsive and user-friendly interfaces
• Ensure code quality through unit testing, code reviews, and best practices
• Work with databases such as SQL Server / NoSQL databases
• Optimize applications for maximum speed and scalability
• Participate in Agile ceremonies like sprint planning, stand-ups, and retrospectives
• Troubleshoot and debug production issues

Required Skills:

• Strong experience in C#, .NET Core, ASP.NET Core
• Hands-on experience with React.js, JavaScript, HTML, CSS
• Solid understanding of Microservices architecture
• Experience in building and consuming REST APIs
• Knowledge of Entity Framework / ORM tools
• Experience with SQL Server / PostgreSQL / MongoDB
• Familiarity with Git / version control systems
• Understanding of design patterns and clean architecture

About Telstra:

Telstra is Australia’s leading telecommunications and technology company, with operations in more than 20 countries. At Telstra, We've implemented an IT strategy that employs leading-edge software engineering practices to help deliver a superior customer experience with improved trust and speed of delivery, lower cost, and simplified architecture, systems and processes.

Your key responsibilities and major tasks include, but are not limited to

• As a backend Java developer, you will work within a specific problem space critical to Telstra’s current needs where you will design, develop, and deploy backend services with a focus on scalability, high availability, and low latency.
• Review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements.
• Apply engineering best practices such as Agile, CI/CD, and DevOps as part of a high performing motivated team.
• Collaborate and grow in a dynamic and autonomous environment while working in small, agile, and cross functional teams
• Pivot to working on new features and developments, to providing production support in the production and pre-production environments assisted by all team members. This responsibility is equally shared by all members of the team.
  
  

We are looking for candidates with the following experience and skills:

Essential skills and Experience

• 3 years – 7 years year experience in this area
• Must have strong Java programming background (preferably Java 8+)​
• Preferred Frameworks – Spring Boot​
• Unit Testing, Integration testing and Automated testing. ​
• Experience with Continuous Integration/Deployment​
• Microservices development – HTTP, REST API​ design and implementation​
• Comfortable to operate in an agile, dynamic environment​.

Hi We are Looking foe Data Science AI Professional role for our KPHB, Hyderabad Branch Requirements:

• Min 6 months to 1 Year experience in Data Science AI

• Need to have proven Experience with Good GitHub profile and projects

• Need to good with Data Science & AI Concepts

• Need to be good with Python, ML, Stats, Deep Learning, NLP, OpenCV etc

• Good Communication and presentation skills

Job Title: Product Manager

Job Description

Bachelor or master’s degree in computer science or equivalent experience.
Worked as Product Owner before and took responsibility for a product or project delivery.
Well-versed with data warehouse modernization to Big Data and Cloud environments.
Good knowledge* of any of the Cloud (AWS/Azure/GCP) – Must Have
Practical experience with continuous integration and continuous delivery workflows.
Self-motivated with strong organizational/prioritization skills and ability to multi-task with close attention to detail.
Good communication skills
Experience in working within a distributed agile team
Experience in handling migration projects – Good to Have
 

*Data Ingestion, Processing, and Orchestration knowledge

Roles & Responsibilities

Responsible for coming up with innovative and novel ideas for the product.
Define product releases, features, and roadmap.
Collaborate with product teams on defining product objectives, including creating a product roadmap, delivery, market research, customer feedback, and stakeholder inputs.
Work with the Engineering teams to communicate release goals and be a part of the product lifecycle. Work closely with the UX and UI team to create the best user experience for the end customer.
Work with the Marketing team to define GTM activities.
Interface with Sales & Customer teams to identify customer needs and product gaps
Market and competition analysis activities.
Participate in the Agile ceremonies with the team, define epics, user stories, acceptance criteria
Ensure product usability from the end-user perspective

Mandatory Skills

Product Management, DWH, Big Data