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Global digital transformation solutions provider.
JOB DETAILS:
* Job Title: Lead II - Software Engineering - AWS, Apache Spark (PySpark/Scala), Apache Kafka
* Industry: Global digital transformation solutions provider
* Salary: Best in Industry
* Experience: 5-8 years
* Location: Hyderabad
Job Summary
We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The role involves working with large-scale batch and real-time data processing systems, collaborating with cross-functional teams, and ensuring data reliability, security, and performance across the data lifecycle.
Key Responsibilities
ETL Pipeline Development & Optimization
- Design, develop, and maintain complex end-to-end ETL pipelines for large-scale data ingestion and processing.
- Optimize data pipelines for performance, scalability, fault tolerance, and reliability.
Big Data Processing
- Develop and optimize batch and real-time data processing solutions using Apache Spark (PySpark/Scala) and Apache Kafka.
- Ensure fault-tolerant, scalable, and high-performance data processing systems.
Cloud Infrastructure Development
- Build and manage scalable, cloud-native data infrastructure on AWS.
- Design resilient and cost-efficient data pipelines adaptable to varying data volume and formats.
Real-Time & Batch Data Integration
- Enable seamless ingestion and processing of real-time streaming and batch data sources (e.g., AWS MSK).
- Ensure consistency, data quality, and a unified view across multiple data sources and formats.
Data Analysis & Insights
- Partner with business teams and data scientists to understand data requirements.
- Perform in-depth data analysis to identify trends, patterns, and anomalies.
- Deliver high-quality datasets and present actionable insights to stakeholders.
CI/CD & Automation
- Implement and maintain CI/CD pipelines using Jenkins or similar tools.
- Automate testing, deployment, and monitoring to ensure smooth production releases.
Data Security & Compliance
- Collaborate with security teams to ensure compliance with organizational and regulatory standards (e.g., GDPR, HIPAA).
- Implement data governance practices ensuring data integrity, security, and traceability.
Troubleshooting & Performance Tuning
- Identify and resolve performance bottlenecks in data pipelines.
- Apply best practices for monitoring, tuning, and optimizing data ingestion and storage.
Collaboration & Cross-Functional Work
- Work closely with engineers, data scientists, product managers, and business stakeholders.
- Participate in agile ceremonies, sprint planning, and architectural discussions.
Skills & Qualifications
Mandatory (Must-Have) Skills
- AWS Expertise
- Hands-on experience with AWS Big Data services such as EMR, Managed Apache Airflow, Glue, S3, DMS, MSK, and EC2.
- Strong understanding of cloud-native data architectures.
- Big Data Technologies
- Proficiency in PySpark or Scala Spark and SQL for large-scale data transformation and analysis.
- Experience with Apache Spark and Apache Kafka in production environments.
- Data Frameworks
- Strong knowledge of Spark DataFrames and Datasets.
- ETL Pipeline Development
- Proven experience in building scalable and reliable ETL pipelines for both batch and real-time data processing.
- Database Modeling & Data Warehousing
- Expertise in designing scalable data models for OLAP and OLTP systems.
- Data Analysis & Insights
- Ability to perform complex data analysis and extract actionable business insights.
- Strong analytical and problem-solving skills with a data-driven mindset.
- CI/CD & Automation
- Basic to intermediate experience with CI/CD pipelines using Jenkins or similar tools.
- Familiarity with automated testing and deployment workflows.
Good-to-Have (Preferred) Skills
- Knowledge of Java for data processing applications.
- Experience with NoSQL databases (e.g., DynamoDB, Cassandra, MongoDB).
- Familiarity with data governance frameworks and compliance tooling.
- Experience with monitoring and observability tools such as AWS CloudWatch, Splunk, or Dynatrace.
- Exposure to cost optimization strategies for large-scale cloud data platforms.
Skills: big data, scala spark, apache spark, ETL pipeline development
******
Notice period - 0 to 15 days only
Job stability is mandatory
Location: Hyderabad
Note: If a candidate is a short joiner, based in Hyderabad, and fits within the approved budget, we will proceed with an offer
F2F Interview: 14th Feb 2026
3 days in office, Hybrid model.
Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.
This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.
What You'll Do
Model Deployment & Optimization
• Lead end-to-end deployments of large language models on AWS infrastructure for strategic
customers
• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI
• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure
configuration
• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,
Inferentia)
Infrastructure Architecture & Performance
• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed
training frameworks
• Implement CUDA-level optimizations and custom kernels for improved model performance
• Design storage and networking architectures optimized for high-throughput ML workloads
• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level
Customer Engagement & Technical Leadership
• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model
requirements and deployment constraints
• Provide technical guidance on model selection, fine-tuning strategies, and production best practices
• Conduct performance benchmarking and cost optimization analysis for ML workloads
• Share field insights with AWS product teams to influence infrastructure and service roadmaps
What We're Looking For
Core Qualifications
• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or
PhD preferred)
• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)
• Deep understanding of LLM architectures, training methodologies, and inference optimization
Technical Expertise (High-Level Alignment)
• Hands-on experience training, fine-tuning, or deploying large language models in production
• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques
• Experience with distributed training frameworks and multi-GPU/multi-node orchestration
• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking
Preferred Experience
• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML
platforms
• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,
Inferentia)
• Experience with model compression techniques (quantization, pruning, distillation)
• Knowledge of MLOps practices, model monitoring, and production ML system design
• Background in high-performance computing, distributed systems, or systems programming
Essential Attributes
• Ability to dive deep into technical problems and debug complex infrastructure issues
• Strong analytical skills with data-driven approach to optimization
• Excellent communication skills to explain complex technical concepts to diverse audiences
• Comfortable working in ambiguous, fast-paced environments with evolving requirements
• Ownership mindset with ability to drive projects from architecture to production
Candidate Profile
- Education: M. Pharmacy or B. Pharmacy with MBA
- Experience: 4–5 years
- Location: Hyderabad (mandatory)
- Gender: Male
- Travel: Willingness to travel frequently to Mumbai
- Domain Knowledge:
- Pharma finished dosage formulations
- Licensing deals and techno-commercial exposure
- Should have Hyderabad pharma network
- Ability to initiate formulation licensing deals for US & EU regulated markets
Key Responsibilities
- Support business development efforts for regulated markets, primarily US and EU
- Understand regulatory requirements and build / maintain relevant databases
- Provide end-to-end BD support to the BD Manager
- Analyse data and present concise summaries to aid management decision-making
- Focus on opportunities in regulated markets
- Handle techno-commercial evaluations
- Follow up on potential opportunities and convert them into qualified leads
- Prepare and manage costing sheets
A GCP BigQuery professional designs develops and optimizes largescale data warehouses ELT ETL pipelines and SQL scripts within Google Cloud Responsibilities include managing data ingestion PubSub Dataflow optimizing performance and cost and implementing securitygovernance Key skills include SQL Python Apache Airflow and Data modeling
Key Responsibilities
- Data Architecture Modeling Design and optimize BigQuery data models schemas and storage for performance and costefficiency
- Pipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer Airflow Dataflow and Dataproc
- Query Optimization Write complex SQL scripts and tune performance to minimize BigQuery slot usage
- Data Integration Ingest transform and manage data from diverse sources into BigQuery
- Governance Security Implement data security access controls and best practices
Required Skills Qualifications
- Core Technical Proficiency in GoogleSQL Python and Google Cloud Platform GCP services BigQuery Cloud Storage Dataflow
- Data Processing Experience with Apache Spark Beam or Hadoop
- Database Knowledge Strong understanding of relational RDBMS and NoSQL databases
Required Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of overall software development experience; minimum 4+ years in RPA development (UiPath, Blue Prism, or Automation Anywhere).
• Deep understanding of healthcare industry processes (EMR/EHR, claims processing, eligibility, compliance, etc.) is highly preferred.
• Proven ability to manage full RPA deployment including bots, orchestrators, and system integrations in enterprise environments.
• UiPath Advanced Developer or similar RPA certifications are a plus.
• Solid problem-solving, analytical, and communication skills.
Preferred Skills:
• Integration of RPA with AI/ML technologies or cloud platforms (Azure, AWS, GCP).
• Strong experience with scripting (Python, PowerShell, etc.), SQL, and integration via REST/SOAP APIs.
• Understanding of process improvement methodologies (Lean, Six Sigma).
• Track record of designing reusable components and frameworks, especially in a regulated healthcare environment.
• Strong documentation and stakeholder management abilities.
Soft Skills:
• Strong communication and interpersonal skills for cross-functional collaboration.
• Ability to mentor, lead, and motivate technical teams.
• Exceptional organizational and multitasking skills, especially in fast-paced and dynamic work environments.

looking for Trainer who has experience on any one in Data Analytics Tableau, Power BI, Excel, MYSQL
Job description
Experience: At least 1 year of experience in imparting trainings Bachelor / Master degree in any field
Requirements :
- Good interpersonal with excellent communication skills
- Imparting Training on Tableau, Excel,SQL, Python or R Programming, Statistics.
- Good understanding of Data Analysis concepts and understanding of Machine Learning, Big Data, Business Intelligence Tools.
- Conduct online and classroom training sessions by providing practical use cases and assignments
- Able to cater College Seminar, Workshop, Corporate training.
- Provide Interview Preparation and placement assistance to students
- Manage Data Analytics Training Content including Session Presentations, Assignments, and Quizzes.
Overview:
We are currently seeking an energetic Sales Development Representatives. This position is an integral part of our sales engine. SDRs are a specialised group of individuals always “hunting” for high-value opportunities.
SDRs are focussed on the front end of the sales cycle and be the face of KEKA. This individual must be highly motivated, self-starter who is able to identify and develop opportunities from multiple sources including prospect lists, discovery and individual research.
A typical day at KEKA being an SDR would involve:
- Generating qualified opportunities for the company by rigorously prospecting and researching In the given region/market
- Striking and initiating conversations with high-profile personas of companies you are prospecting into
- Be the face of KEKA and introduce the company and the products to the prospects
- Getting creative with writing emails/ Inmails and grabbing the attention of prospects
- Being adaptable to change and have the thirst to learn new things/ways to reach the prospects and have them on board for a meeting
Requirements:
- 1-4 years of work experience in any customer-facing sales like Sales/inside sales/cold calling/business development
- Clear, concise, and effective written and oral communication skills.
- Empathy towards customers and understanding their needs.
- Interest, curiosity, and openness to learning new technologies.
- Prior exposure to tools like LinkedIn Sales Navigator, DiscoverOrg, ZoomInfo, etc.
- Good interpersonal skills and ability to collaborate with internal stakeholders as well as end customers.
- Learning mindset and the right attitude that will help you thrive and adapt in a fast-paced, performance-driven environment.
- Ability to handle rejections and stay focused and driven.
- Ability to multi-task and manage your tasks effectively.
- Flexibility working in different shifts/regions. This is absolutely mandatory
Good To Have:
- Prior work experience in SaaS product companies in domains relevant to Keka products.
- A proven track record of consistency in overachieving targets.
- Should have knowledge in Core PHP and object-oriented programming.
- You will be responsible in developing applications using Laravel/ wordpress/ Codeignitor - preffered (Laravel)
- Responsible for Developing High-Quality Web Applications, Admin dashboards and PHP Scripts, APIs.
- Should be able to Develop, record and maintain cutting edge web-based php applications on portal plus permiium service platforms
- Need to Identify and fix bugs that are found within code.
- Strong knowledge to Interact with SQL databases.
- Must be Creative problem-solving skills with a focus on delivering business value quickly
- Knowledge of MySQL and ability to write/ Maintain complex queries.
- Understanding of object-oriented PHP programming, Jquery and Javascript
- Should have good communication skills
Hyperion Planning Senior/Architect requirement
Experience: 5+ years
EPBCS/PBCS Experience minimum 2 implementations
Should have worked on implementation projects and not on Support/infra/migration
Travel Involved -- Readiness required on need basis
Note: Billable, Hands on Implementation Experience
No Support/infra/maintenance projects

at Altimetrik
- Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
- Experience in developing lambda functions with AWS Lambda
- Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
- Should be able to code in Python and Scala.
- Snowflake experience will be a plus
We are looking for a Customer Success Specialist to assist our customers from onboarding to successful usage of the product.
To be successful in this role, you should be an excellent communicator who’s able to earn our clients’ trust and you should be a quick learner
Responsibilities
- Should learn and understand the product, respond to customer queries in a timely and accurate way, via phone, email, or chat
- Identify customer needs and help customers use specific features
- Analyze and report product malfunctions (for example, by testing different scenarios or impersonating users)
- Update our internal databases with information about technical issues and useful discussions with customers
- Update customers about new features and functionalities
- Follow up with customers to ensure their technical issues are resolved
- Gather customer feedback
- Knowledge of Test Automation and writing javascript is a plus
- Great Communicator - We are looking for a communicator par excellence.
- Problem Solver - There are times when you have a deadline but not the right candidate for the position, you have to be able to figure out a quick solution that will not hamper the team's productivity.
- Comfortable with Ambiguity - You enjoy a high pace of work and an environment where all answers are not readily available but will need you to be a part of finding answers
- Presence of Mind - You know how to apply your mind to think through a complex problem and not lose your cool in dealing with clients




