11+ Oracle Applications DBA Jobs in Chennai | Oracle Applications DBA Job openings in Chennai

• Strong in both Core and Apps side.
• Strong in Apps DBA areas, R12.1, R12.2, Cloning, Patching, Multinode, DMZ, Troubleshooting, Concurrent Manager, Sysadmin Activities 
• Strong in Core BDA areas , Architecture, Installation, Cloning, Patching, Performance Tuning, Standby , DG, RAC, OEM, Upgrade, Migration,Troubleshooting, Replication tool 
• Should be flexible for timng

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

Job Title : Senior Machine Learning Engineer

Experience : 8+ Years

Location : Chennai

Notice Period : Immediate Joiners Only

Work Mode : Hybrid

Job Summary :

We are seeking an experienced Machine Learning Engineer with a strong background in Python, ML algorithms, and data-driven development.

The ideal candidate should have hands-on experience with popular ML frameworks and tools, solid understanding of clustering and classification techniques, and be comfortable working in Unix-based environments with Agile teams.

Mandatory Skills :

• Programming Languages : Python
• Machine Learning : Strong experience with ML algorithms, models, and libraries such as Scikit-learn, TensorFlow, and PyTorch
• ML Concepts : Proficiency in supervised and unsupervised learning, including techniques such as K-Means, DBSCAN, and Fuzzy Clustering
• Operating Systems : RHEL or any Unix-based OS
• Databases : Oracle or any relational database
• Version Control : Git
• Development Methodologies : Agile

Desired Skills :

• Experience with issue tracking tools such as Azure DevOps or JIRA.
• Understanding of data science concepts.
• Familiarity with Big Data algorithms, models, and libraries.

Company Overview:

Propel is an innovative and fast-growing software development company specializing in designing and building enterprise applications. Our commitment to excellence and passion for technology has positioned us as a leader in our domain.  

We are searching for a talented Senior Architect to join our dynamic team and lead our efforts in scaling and optimizing our software solutions. 

Key Responsibilities: 

• Diverse Architectural Expertise: Drive solutions using various architectures, including SOA, Enterprise application, Microservices, event-driven, and distributed systems. Utilize experience in big data systems like Spark, Hadoop, and Cassandra to model and design distributed architectures. 
• Comprehensive Cloud Mastery: Demonstrate expertise in cloud architectures (SaaS, PaaS, IaaS) across platforms including AWS, Azure, and Google Cloud. Lead legacy system migration to these cloud infrastructures. 
• Containerization & Orchestration Excellence: Design highly scalable applications using Docker containers, optimizing with Kubernetes orchestration. 
• Solution Development: Lead the end-to-end solutioning process, from proof of concept to implementation, tackling complex business challenges with innovative technical solutions. 
• Data Management & Security: Oversee the creation and management of data pipelines using strategies like ETL, ELT, and CDC in various modes. Design data warehouses, ensuring security for Data at Rest and Data in Transit. Implement data encryption strategies utilizing algorithms like AES, DES, MD5, and SHA1. Ensure secure access through identity platforms like ADFS, Auth0, and Okta, along with Single Sign-on and Single Sign-Off integrations. 
• Compliance & Standards: Architect and design solutions ensuring compliance with regulations like HIPAA and GDPR. Advocate for and ensure adherence to best practices in development and DevOps, encompassing project management tools, version control systems, CI/CD pipelines, static code analyzers, and more. 
• Version Control & Collaboration Tools: Ensure best practices in utilizing software version control systems and software delivery platforms, enhancing team collaboration and project tracking. 
• Business Alignment: Engage proactively with stakeholders and product managers to define and translate business requirements into technical specifications, ensuring alignment and value delivery. 

Technical Skillset: 

• Web Technologies: J2EE, Servlets, DotNet, Python, HTML5, CSS5, ReactJS, TypeScript, Javascript, Bootstrap, Node.JS, Express JS, JSON, XML 
• Frameworks: Spring Framework, DotNet Core, Flask, Angular OR ReactJS 
• Languages: C#, Java, Python, Scala (Expertise in any 3, familiarity with others)
• Testing Tools: Selenium, Cypress, JMeter, Gatling 
• Databases: MS SQL, PostgreSQL, MySQL, Cassandra, MongoDB, Redis, ElasticSearch 
• Distributed Systems: Apache Spark, Hadoop, or any others 
• Containerization & Orchestration: Docker, DockerHub, Kubernetes 
• Identity Platforms: ADFS, Auth0, Okta 
• Web/ App Servers: Nginx, Apache, JBoss, Tomcat, IIS, Websphere (Anyone or more) 
• Cloud Platforms: AWS, Azure, Google (Anyone or more) 
• Version Control: SVN, CVS, GitHub, GitLab, Bitbucket (Anyone or more) 
• Code Analysis Tools: SonarQube, Veracode 
• CI/ CD Tools: Jenkins, Bitbucket Pipelines 
• Build & Dependency Management: Maven, SBT, YARN, NPM, WebPack 

Full Stack / Front End / Back End Developer

We are currently building the Technology platform for the Global Air Cargo industry ($300B market). 

Currently, we have two open roles (1 Front End Engineer & 1 Back End Engineer).

Full Stack Engineers are also desired for the open positions. 

These (2) engineers will be part of the Tech team which will be at the core of what we aspire to build.

Looking for Full Stack / Front End / Back End Developer

- Tech Stack (React, node.js, typescript, postgreSQL, AWS)

- loves to code, get hands-on and likes to build products from scratch

- At least 2+ years of experience building software products

- "Build local, Launch global" mindset

- Good with people and teams +

- prior startup experience +

- SaaS platform expertise +

- Work location - Chennai

- So we are looking only for candidates in Chennai or who are open to relocating to Chennai for this opportunity

- Open to explore both Contract & Full time options for the (2) roles

Must have,

- Fundamental of Python(Data types in python, scope of variable, asynchronous programming)
- Should be able to code in Python

- Basic Understanding of Database

- API designing

- Problem Solving skills

- Fundamentals of storage, caching

Good to have,

- AWS Knowledge,

- Python Framework(Django, Flask)

- Knowledge on Message Broker, Caching

- SQL and no-SQL database

1.       Strong knowledge in Front end scripting like EJS, JavaScript, Jquery

2.       Proficiency with fundamental front-end languages such as HTML, CSS.

3.       Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.

4.       Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net

5.       Good Understand with database technology such as MySQL, Oracle, and MongoDB.

Responsibilities:

• Design and build iOS mobile applications

• Collaborate with cross-functional teams to analyze, design, and ship new features

• Fully responsible for mobile app development in the team

• Build and publish applications in app stores

• Implement new technologies to maximize application performance

Qualifications:

• Very good experience with Objective-C and iOS SDK

• Experience in working with Telematics SDK is a plus

• Experience with Geo APIs are mandatory

• Good working knowledge in Cocoa Touch

• Experience working with iOS frameworks such as Core Data, Core Animation, Core Graphics and Core Text

• Experience with memory management and caching mechanisms specific to mobile devices