11+ Oracle BRM Jobs in Hyderabad | Oracle BRM Job openings in Hyderabad

Please be informed : Who can join Immediate - Max 15 days apply, higher notice period not being considered.

Oracle BRM Developer

Exp Level : 5+ years

Client : Product based in Financial

Interview Mode : 2 rounds Virtual

Work Location : Hyderabad & Bangalore (Hybrid - 3 days work from office)

Full time and permanent with TechStars Group' deployed to Client

.

Skill Set :

- Oracle BRM Development

- Preferably from Telcom domain

- Having strong hands-on exp in BRM

- BRM Development and Design experience

- Advantage - Excellent design skills and programming skills in C, Shell Scripting

- Excellent Oracle Database knowledge with BRM data layer

- Design and develop applications : Create applications to meet business requirements and collaborate with cross-functional teams

- Develop documentation : Create technical documentation, such as design specifications, test plans, and user manuals

- Troubleshoot issues : Resolve technical issues to minimize impact on business operations

- Stay up to date : Keep up with the latest advancements in Oracle BRM and related technologies

- Analyze client needs : Analyze client needs and work with internal and external clients

- Develop business process models : Develop business process models and documentation using tools like MS Visio, Excel, and Word

- Install and configure Oracle databases : Install, configure, and tune Oracle databases

- Plan and manage deliveries : Plan and manage deliveries in the billing domain, ensuring high-quality products and user experience

- Create technical designs : Create or translate business requirements into technical designs

• Please be informed : Who can join Immediate - Max 15 days apply, higher notice period not being considered.

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & 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.

• Strong B2B Product Manager Profiles
• Mandatory (Experience 1) - Must have Total 5+ YOE with recent 2+ years as a Product Manager
• Mandatory (Experience 2) - Must have experience working in early-stage products (with early stage startups or in big startups/companies driving 0-to-1 product development and building MVPs)
• Mandatory (Experience 3) - Must have hands-on experience in writing PRDs, BRDs, user stories, and maintaining product documentation for cross-functional teams.
• Mandatory (Company) - Product companies only (B2B preferred)

Preferred

• Preferred (Experience) – Prior experience as a developer or tech role is a plus

Skills- .net, asp.net, SPFX, MVC, API, SQL, angular, javascript, jquery, devops, sharepoint, .net core, GitHub, agile, Angular JS, .net framework

Location: Chennai, Bangalore, Kochi, Coimbatore, Hyderbad

Requirement:

We are looking for dotnet developer with the skillset of

1. Dot Net. Sharepoint Online, SPFX (3-6yrs exp)
2. Dot Net. Sharepoint Online, SPFX, Knowledge Management, Power BI(6-9yrs exp)
3. Dot Net, SQL(3-6yrs exp)
4. Dotnet framework, Asp.Net, C#.Net, SQL Server(3-6yrs exp)
5. .net, SQL, Angular(3-6yrs exp)
6. MVC .net,.Net core,API & SQL Server,Angular,Agular JS(3-6yrs exp)
7. .Net, ASP .Net, MS SQL Server, Agile, GitHub, ADO(3-6yrs exp)
8. ASP.Net, javascript, J query(3-9yrs exp)
9. MVC.Net, SQL, Jquery, DevOps, GitHub(3-6yrs exp)

• Sr PHP Dev:
•  - 6+ years of Exp
• - Good knowledge of Symfony 5
• - Expert in PHP 8
• - Good front-end knowledge of Angular, React
• - Good AWS knowledge
• - Experience in developing highly scalable public-facing websites

About the company: RealmApp is a browser extension for literacy, discovery, and productivity for Web3 users. Users can choose from a range of customisable widgets suiting their stage and role in crypto.

The team comprises experienced crypto entrepreneurs, operators, and stalwarts of the industry as advisors and investors.

Min Requirements:

• Figma basics
• Passionate about UI/UX
• Understanding fundamental design concepts such as color theory, typography, and composition

Good to have:

• A general understanding of web and mobile technologies and development languages
• Fundamental knowledge of user experience research and testing methods

Application Process:

Interested candidates can apply by sharing assessments of the company website (www.realmapp.io) along with their portfolio link.

Job Overview: We are seeking a dedicated Senior Statistical Programmer to join our dynamic team. You will be responsible for the development, quality control, and documentation of statistical (SAS) programming deliverables for clinical research studies.

Key Responsibilities:

1.      Lead and oversee the development of SAS programs for the management and statistical analysis of clinical trial data.

2.      Develop, test, and validate statistical tables, listings, and graphs (TLGs) in support of the statistical analysis plan.

3.      Support the generation and review of protocols, data management plans, study reports, and other regulatory documents.

4.      Provide input to the statistical analysis plan, table shells, data integration plans, and mock-ups.

5.      Ensure data quality by designing and validating key data checks and listings.

6.      Develop specifications for derived datasets and perform data transformation as necessary.

7.      Collaborate effectively with data management and biostatistics teams, clinicians, and other project stakeholders.

8.      Guide junior programmers and provide mentoring as needed.

9.      Keep abreast of new developments in SAS programming and clinical research, and act as a subject matter expert for the team.

Required Qualifications and Skills:

1.      Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or a related field.

2.      Minimum of 3 plus years of statistical programming experience in the pharmaceutical, biotech, or CRO industry.

3.      Excellent SAS programming skills and proficiency in SAS/Base, SAS/Macro, SAS/Graph, and SAS/STAT.

4.      Familiarity with CDISC SDTM and ADaM data standards.

5.      In-depth understanding of clinical trial data and extremely complex statistical methods.

6.      Excellent problem-solving skills and a proactive approach to identifying and resolving issues.

7.      Strong written and verbal communication skills, with the ability to translate complex data into understandable results.

8.      Proficiency in English, with excellent written and verbal communication skills.

9.      Prior experience leading teams or projects is highly desirable.

Preferred Skills:

1.      Experience in oncology, immunology, respiratory, infectious diseases, or neurosciences is a plus.

2.      Knowledge of other statistical software such as R or Python is a plus.

3.      Knowledge of regulatory guidelines (FDA/EMA/ICH) is preferred.