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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.
Dear Candidates,
We have an urgent requirement for the role of Assistant Manager – Angular Developer. Please find the details below:
Experience (YOE): 5–8 Years
Location: Bengaluru / Delhi / Hyderabad (Bengaluru – Ecospace preferred)
Joining: Immediate joiners preferred
Job Description:
- Strong experience in front-end development with a focus on Angular (latest version).
- Develop scalable, high-performance web applications.
- Design, code, debug, test, and optimize user-facing features.
- Ensure responsiveness, cross-browser compatibility, and application security.
- Collaborate with backend teams, UI/UX designers, and stakeholders.
- Perform unit and integration testing; troubleshoot and resolve issues.
- Follow coding standards and Agile methodologies.
Technical Skills Required:
- Angular (19+), JavaScript, TypeScript, HTML5, CSS3
- RxJS, NgRx (or other state management tools)
- REST API integration
- Git, JIRA, Confluence
- CI/CD tools (Jenkins, Docker, Azure DevOps)
- Good understanding of performance optimization and security practices
Nice to Have:
- Exposure to Node.js and backend integration
- Experience with microservices architecture
Qualification:
- Bachelor’s or Master’s degree in Computer Science or related field
Role: Data Scientist (Python + R Expertise)
Exp: 8 -12 Years
CTC: up to 30 LPA
Required Skills & Qualifications:
- 8–12 years of hands-on experience as a Data Scientist or in a similar analytical role.
- Strong expertise in Python and R for data analysis, modeling, and visualization.
- Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, caret, etc.).
- Strong understanding of statistical modeling, hypothesis testing, regression, and classification techniques.
- Experience with SQL and working with large-scale structured and unstructured data.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment practices (Docker, MLflow).
- Excellent analytical, problem-solving, and communication skills.
Preferred Skills:
- Experience with NLP, time series forecasting, or deep learning projects.
- Exposure to data visualization tools (Tableau, Power BI, or R Shiny).
- Experience working in product or data-driven organizations.
- Knowledge of MLOps and model lifecycle management is a plus.
If interested kindly share your updated resume on 82008 31681
Requirements:
- Proficiency in Java fundamentals and coding.
- Proficiency in front-end technologies such as Angular and React.
- Experience with backend frameworks like Spring Boot (mandatory).
- Previous experience as a Java Full Stack trainer.
- Excellent communication skills.
- Ability to work independently and remotely (for candidates outside Kochi, Kerala).
- Willingness to work onsite in our office (for Kochi residents).
Preferred Qualifications:
- Certification in Java.
- Experience with Agile methodologies.
Requirements
Experience: 8+ Years
Work Location: Hyderabad
Mode of work: Work from Office
Senior Data Engineer / Architect
Summary of the Role
The Senior Data Engineer / Architect will be a key role within the data and technology team, responsible for engineering and building data solutions that enable seamless use of data within the organization.
Core Activities
- Work closely with the business teams and business analysts to understand and document data usage requirements
- Develop designs relating to data engineering solutions including data pipelines, ETL, data warehouse, data mart and data lake solutions
- Develop data designs for reporting and other data use requirements
- Develop data governance solutions that provide data governance services including data security, data quality, data lineage etc.
- Lead implementation of data use and data quality solutions
- Provide operational support for users for the implemented data solutions
- Support development of solutions that automate reporting and business intelligence requirements
- Support development of machine learning and AI solution using large scale internal and external datasets
Other activities
- Work on and manage technology projects as and when required
- Provide user and technical training on data solutions
Skills and Experience
- At least 5-8 years of experience in a senior data engineer / architect role
- Strong experience with AWS based data solutions including AWS Redshift, analytics and data governance solutions
- Strong experience with industry standard data governance / data quality solutions
- Strong experience with managing a Postgres SQL data environment
- Background as a software developer working in AWS / Python will be beneficial
- Experience with BI tools like Power BI and Tableau
Strong written and oral communication skills
- 4+ yrs of experience having strong fundamentals on Windchill Customization & Configurations, Reporting Framework Customization, Workflow Customization , Customer handling
- Strong Customization background around Form Processors, Validator, data utilities, Form Controllers etc.
- Strong Programming skills in Java/J2EE technologies – JavaScript, GWT, JQuerry, XMLs, JSPs, SQL etc.
- Deep Knowledge in Windchill architecture
- Experience in atleast one full lifecycle PLM implementation with Windchill.
- Should have strong coding skills in Windchill development and Customization, ThingWorx Navigate Development (Mandatory), Thing Worx Architecture Configurations Mashup creation, ThingWorx and Windchill Upgrade
- Should have Build and Configuration management (Mandatory) - HPQC \JIRA\Azure\SVN\GITHUB \ Ant
- Knowledge & Experience in Build and Release process
- Having worked on custom upgrade will be a plus.
- Understanding of application s development environment, Database, data management and infrastructure capabilities and constraints. Understanding of Database administration, Database design and performance Tuning
- Follow Quality processes for tasks with appropriate reviews. Participate in sharing knowledge within the team.
MTX Group Inc. is seeking a motivated Lead DevOps Engineer to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.
Responsibilities:
- Be responsible for software releases, configuration, monitoring and support of production system components and infrastructure.
- Troubleshoot technical or functional issues in a complex environment to provide timely resolution, with various applications and platforms that are global.
- Bring experience on Google Cloud Platform.
- Write scripts and automation tools in languages such as Bash/Python/Ruby/Golang.
- Configure and manage data sources like PostgreSQL, MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
- Build automation and tooling around Google Cloud Platform using technologies such as Anthos, Kubernetes, Terraform, Google Deployment Manager, Helm, Cloud Build etc.
- Bring a passion to stay on top of DevOps trends, experiment with and learn new CI/CD technologies.
- Work with users to understand and gather their needs in our catalogue. Then participate in the required developments
- Manage several streams of work concurrently
- Understand how various systems work
- Understand how IT operations are managed
What you will bring:
- 5 years of work experience as a DevOps Engineer.
- Must possess ample knowledge and experience in system automation, deployment, and implementation.
- Must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
- Experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, MySQL, and Git.
- Knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, Hadoop, and others.
What we offer:
- Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
- Sum Insured: INR 5,00,000/-
- Maternity cover upto two children
- Inclusive of COVID-19 Coverage
- Cashless & Reimbursement facility
- Access to free online doctor consultation
- Personal Accident Policy (Disability Insurance) -
- Sum Insured: INR. 25,00,000/- Per Employee
- Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
- Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
- Temporary Total Disability is covered
- An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
- Monthly Internet Reimbursement of upto Rs. 1,000
- Opportunity to pursue Executive Programs/ courses at top universities globally
- Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others
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As a Lead Solutions Architect at Aganitha, you will:
* Engage and co-innovate with customers in BioPharma R&D
* Design and oversee implementation of solutions for BioPharma R&D * Manage Engineering teams using Agile methodologies
* Enhance reuse with platforms, frameworks and libraries
Applying candidates must have demonstrated expertise in the following areas:
1. App dev with modern tech stacks of Python, ReactJS, and fit for purpose database technologies
2. Big data engineering with distributed computing frameworks
3. Data modeling in scientific domains, preferably in one or more of: Genomics, Proteomics, Antibody engineering, Biological/Chemical synthesis and formulation, Clinical trials management
4. Cloud and DevOps automation
5. Machine learning and AI (Deep learning)
Exp : 7- 15 yrs
- 7+ years strong technology background with excellent hands-on knowledge of Salesforce application development.
- Strong in developing Lightning components, Aura framework & UI designing web- pages. Hands on experience on LDS components and lightning app builder.
- Experience in consuming and exposing SOAP and REST based APIs
- Strong fundamentals in SFDC database with SOQL & SOSL
- Hands on Salesforce Channels such as Partner Community, Success Community & cloud communities.
- In depth understanding of SFDC Profiles / Roles and Sharing Rules , Validation Rules , Tasks , Workflow rules , Triggers , Process Builder etc.
- Experience with the https://ind01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsalesforce.com%2F&data=04%7C01%7CRJagan%40TechMahindra.com%7C747a7614a2ca4743ec1b08d90ef65b00%7Cedf442f5b9944c86a131b42b03a16c95%7C0%7C0%7C637557273514172899%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=uDcwmfR55KJjKle%2FkoPprdxeypszF%2BW85MOJWXe0WU0%3D&reserved=0">Salesforce.com APEX data loader , https://ind01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsalesforce.com%2F&data=04%7C01%7CRJagan%40TechMahindra.com%7C747a7614a2ca4743ec1b08d90ef65b00%7Cedf442f5b9944c86a131b42b03a16c95%7C0%7C0%7C637557273514182896%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=wsvlAMzgXJ35%2FTMHJPWUur54rXEEeL7GD5ZVqZk9Vd0%3D&reserved=0">Salesforce.com web services APIs
- Certified in SFDC technical domain would be preferred.
Role Description:
- Design, build, and maintain applications using Node.JS
- Hands-on working on various Azure PAAS services.
- Good problem solving abilities along with strong understanding of Data structures, various design patterns & algorithms.
- Enhance existing services and applications to increase availability, reliability, and scalability in a microservices environment
- Work across the engineering team to build new features and services at scale
- Improve engineering tooling, process, and standards to enable faster, more consistent, more reliable, and highly repeatable application delivery
- Remain engaged with latest technology trends and understand operational challenges to continually evolve application delivery processes and platform components
- Support platform technology decisions based on performance metrics and operational SLAs
- Provide guidance and best practices around security for applications and platform infrastructure
Qualifications:
- 3+ years software development experience using Node.JS
- Must have experience & understanding of working on Azure PAAS services.
- Strong understanding of Azure PAAS services like Services, Service Bus, etc.
- Exposure/understanding of JavaScript frameworks like Angular.JS/React.JS is added advantage.
- Experience with database and cloud technologies
- Understand the benefits of microservices, but also understand the challenges they bring and current trends on how to address those challenges
- Strong written and verbal communication skills
- BS degree in Computer Science or equivalent, Master’s degree preferred.



