
- Mandatory - Hands on experience in Python and PySpark.
- Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).
- Worked on optimizing spark jobs that processes huge volumes of data.
- Hands on experience in version control tools like Git.
- Worked on Amazon’s Analytics services like Amazon EMR, Lambda function etc
- Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
- Experience/knowledge of bash/shell scripting will be a plus.
- Experience in working with fixed width, delimited , multi record file formats etc.
- Hands on experience in tools like Jenkins to build, test and deploy the applications
- Awareness of Devops concepts and be able to work in an automated release pipeline environment.
- Excellent debugging skills.

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- 3 + years owning ML / LLM services in production on Azure (AKS, Azure OpenAI/Azure ML) or another major cloud.
- Strong Python plus hands-on work with a modern deep-learning stack (PyTorch / TensorFlow / HF Transformers).
- Built features with LLM toolchains: prompt engineering, function calling / tools, vector stores (FAISS, Pinecone, etc.).
- Familiar with agentic AI patterns (LangChain / LangGraph, eval harnesses, guardrails) and strategies to tame LLM non-determinism.
- Comfortable with containerization & CI/CD (Docker, Kubernetes, Git-based workflows); can monitor, scale and troubleshoot live services.
Nice-to-Haves
- Experience in billing, collections, fintech, or professional-services SaaS.
- Knowledge of email deliverability, templating engines, or CRM systems.
- Exposure to compliance frameworks (SOC 2, ISO 27001) or secure handling of financial data.
Job Description:
· working with databases, spreadsheets, documents, and other information that a company produces to get a picture of what the company is doing and how it's performing
· You may also link databases to spreadsheets and train employees on new software.
· Fetching the Data
· Data Extraction & Data Research
· Good In Excel
Data processing (text-to-cloumn, VLOOKUP, HLOOKUP, CountyIf & such other formulas)
Title: LARAVEL Developer
B-Arm Medical Technologies, A Well-capitalized start-up is looking for extremely talented LARAVEL Developers to help pioneer commerce on the Internet with primary focus on Health / MedTech. You must have experience designing and building large and complex (yet maintainable) systems, and you should be able to do so in about one-third the time that most competent people think possible. You should have a BE, ME / MS, or PhD in Computer Science or the equivalent. Top-notch communication skills with excellent team working capabilities are essential.
You can Expect Flexible Work environment like WFH/ Hybrid environment and a team of talented, motivated, intense, and interesting co-workers.
Your compensation will include best pay in the industry with meaningful equity equivalent ownership like Stock Options.
Technical Requirements:
- Strong in Hard core PHP coding & MySQL with 3-5 years of Experience
- Strong experience and in-depth working skills in Laravel is preferred. Developers with sound working knowledge in at least one of the following frameworks are also eligible - Symfony/CakePHP/Zend
- Strong in-depth expertise on web application development on LAMP stack (Linux Apache, MySQL and PHP platform. & Ajax)
- Should be well versed in developing and deploying RESTful APIs, third-party APIs, integrating payment gateways, error handling, and data protection
- Well Experienced in Core PHP, jQuery, MySQL, JavaScript, AJAX, XML, Web Services and Git
- Good knowledge in HTML, CSS, JSON.
- Must have at least 2 years of experience in MVC Framework
- Experienced in developing E-Commerce/consumer internet technologies, Content management Systems
- Good Understanding in development of Microservice Architecture
- Sound knowledge in database designing and frameworks.
- Strong in-depth expertise on open-source PHP frameworks & in defining global designs.
- Participate in all stages of development cycle from requirement gathering, analysis, design, test, integration, to post deployment support & enhancements.
- Should have experience working in Agile Team
Key Skills and Competencies:
- Excellent analytical, mathematics & problem-solving skills
- Ability to take initiative, code from scratch and produce desired results.
- Effective verbal and written communication skills.
- Ability to handle multiple tasks with attention to detail and futuristic thinking approach.
Min. Experience: 3-5 years Minimum (or) if you are able to perform tasks that a 3+ years experienced professional would do then you are more than welcome to apply for this position.
No. of Positions: 5
Job Type: Full Time / Contract
The primary responsibilities include:
- Responsible for the overall software development lifecycle.
- Management and execution against project plans and delivery commitments
- Drive effective, mature Agile practices and continuous execution improvements within your teams.
- Manage stakeholder planning and communications ensuring key outcomes
- Recruit, coach, and mentor the best engineering and management talent
- Build, coach, and manage a strong team of engineers that set the standard and can up-level the overall talent of the extended organization.
- Provide a strong understanding of native mobile developer platforms and bring broad thought leadership to the next generation mobile developer experience.
- Anticipate and aggressively remove obstacles that slow down or prevent products and programs from delivering on product and program objectives.
- Balance urgent and effective action, commitment to excellence, and taking the initiative to resolve problems; holds internal stakeholders accountable where appropriate.
REQUIRED
- 8+ years of industry experience with 2+ years of senior leadership experience.
- Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform product.
- Deep understanding of one or more of Java/Python/Scala. Ability to understand and critique the core library/language constructs with skilled knowledge on UI technologies like Angular 2+, React, D3.JS
- Working experience with Agile methodologies and durable team concepts.
- Knowledge in DevOps practices and tools.
- Knowledge in Cloud Technologies, CI/CD, Jenkins, Testing methodologies is preferred.
- Experience in server-side services using ElasticSearch, Kafka
- A strong track record of project delivery for large, cross-functional, projects and bringing in and growing engineering talent
- Excellent written and verbal communication skills with the ability to present complex technical information clearly and concisely to a variety of audiences.

Location: Chennai- Guindy Industrial Estate
Duration: Full time role
Company: Mobile Programming (https://www.mobileprogramming.com/" target="_blank">https://www.
Client Name: Samsung
We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be
responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing
data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline
builder and data wrangler who enjoy optimizing data systems and building them from the ground up.
The Data Engineer will support our software developers, database architects, data analysts and data
scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout
ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple
teams, systems and products.
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS big data technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
Experience building and optimizing big data ETL pipelines, architectures and data sets.
Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and
workload management.
A successful history of manipulating, processing and extracting value from large disconnected
datasets.
Working knowledge of message queuing, stream processing and highly scalable ‘big data’ data
stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 3-6 years of experience in a Data Engineer role, who has
attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
Experience with big data tools: Spark, Kafka, HBase, Hive etc.
Experience with relational SQL and NoSQL databases
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
Skills: Big Data, AWS, Hive, Spark, Python, SQL




