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1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

Mandatory Requirements  

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

 QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations







Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python







Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning







Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID

Position: AWS Cloud Lead Engineer / Architect

Location: Smartworks, 43EQ, Balewadi High Street, Pune

Shift: 4:30 PM IST – 1:30 AM IST (Remote for the first 3 months; after that, regular general timings, 5 days from office)

About Reliable Group

Reliable Group is a US-based company headquartered in New York, with two offices in India:

• New Mumbai (Airoli)
• Smartworks, 43EQ, Balewadi High Street, Pune

We operate across three key business verticals:

• On-Demand – Providing specialized technology talent for global clients.
• GCC (Global Capability Centers) – Partnering with enterprises to build and scale their India operations.
• Product Development – Our in-house AI/ML product company develops AI chatbots and intelligent solutions for US healthcare and insurance companies.

About This Opportunity

This role is for one of Reliable Group’s biggest GCC accounts (RSC India), which we are building in Pune. We are on a mission to hire 1,000+ people for this account over the next phase.

You will be joining the founding team for this GCC and playing a critical role in shaping its AWS cloud infrastructure from the ground up.

The client is the second-largest healthcare company in the USA, ranked in the Fortune 50, offering a unique opportunity to work on high-impact, enterprise-scale cloud solutions in the healthcare domain.

We are seeking a highly skilled AWS Cloud Lead Engineer / Architect with deep hands-on experience in designing, implementing, and automating enterprise-grade AWS environments. The ideal candidate will possess a strong command of multi-account provisioning, networking, security, and DevOps (IAC, CI/CD, Automation) etc.

This role demands an implementation-oriented engineer — someone who understands designing cloud solutions and must also build, configure, and troubleshoot complex AWS environments independently. The candidate will lead engineering teams through end-to-end delivery, ensuring secure, scalable, and compliant AWS deployments aligned with best practices. 

Key Responsibilities 

1. AWS Environment Provisioning 

• Define and implement multi-account environments using AWS Control Tower or Organizations. 
• Define account structure, guardrails, and IAM governance aligned with enterprise security policies. 
• Standardize AWS landing zones for multiple business units.
• Implementation of different services in compute, storage, databases, networking etc. 

2. Networking 

• Design and deploy VPCs, subnets, and routing architectures across multiple regions and accounts. 
• Implement Transit Gateway, VPC Peering, PrivateLink, and Direct Connect for hybrid connectivity. 
• Configure network security, firewalls, and NACLs for private and public access patterns. 

3. DevOps 

• Develop reusable Terraform modules and CloudFormation stacks for repeatable provisioning. 
• Implement version-controlled CI/CD pipelines using tools like GitHub Actions, Jenkins, or AWS CodePipeline leveraging IaC.
• Microservices deployment on ECS/EKS.
• Build automation scripts using Python, Bash, or PowerShell for orchestration and monitoring.

4. Security, Compliance & Governance 

• Configure IAM roles/policies, service control policies (SCPs), and cross-account access models. 
• Implement encryption (KMS, SSL/TLS), CloudTrail auditing, and compliance enforcement via AWS Config, GuardDuty, and Security Hub. 
• Participate in cloud security assessments and remediation plans.

5. Observability 

• Integrate Observability into infrastructure, applications, security, logging and network. 
• Deploy and configure CloudWatch, Grafana, and Prometheus for full-stack observability. 
• Define automated alerting, log retention, distributed tracing and performance dashboards (APM). 

6. Collaboration & Leadership 

• Partner with internal teams to design and build robust cloud-native solutions. 
• Mentor junior engineers on best practices in cloud provisioning, automation, and troubleshooting. 
• Contribute to architecture governance and technical design reviews. 

Required Skills:

• 10+ years in IT, with 6+ years in hands-on AWS cloud implementation and management.
• Proven expertise in AWS multi-account implementation, VPC networking, and cross-region deployments leveraging multiple AWS services in compute, storage, networking, databases, security etc.. 
• Strong experience with Terraform and CloudFormation for IaC automation. 
• Proficiency in Python / Bash / PowerShell scripting for automation and operational tooling. 
• Solid understanding of IAM, Security Hub, GuardDuty, and AWS Config for governance. Experience integrating infrastructure builds into CI/CD workflows using Jenkins, GitHub Actions, or AWS-native tools. 
• Good with monitoring frameworks — CloudWatch, Prometheus, Grafana. 
• Hands-on troubleshooting and root cause analysis in distributed AWS environments.
• Good with Kubernetes (EKS), containerization (Docker), and serverless architectures deployment and management.

Added Advantage:

• Good understanding of multi-cloud architectures and design patterns.
• AWS Certified DevOps Professional
• AWS Certified SysOps/Developer– Associate 
• Terraform Associate

Head of the Department

AI and Data Science

12 to 15 years of Experience

Salary negotiable for immediate Joiners

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ROLES & RESPONSIBILITIES:

• A thorough study of the brand, its values, deliverables, upgrade systems and good communication skills with the client is required.

• A thorough study of the existing product list and their materials is required.

• Management of front desk operations & point of sales

• Receive and respond to customer enquiries as required

• Acquire a thorough understanding of Key customer needs and requirements

• Identify business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.

• Engagement in Strategic Planning of Sales and BD

• Setting up meetings with the prospective clients

• Presenting product/ service demonstrations to the client

• Establishing new business links

• Seek new opportunities through networking, cold calling, and social media channels

• Expand the relationships with existing customers by continuously proposing solutions that meet their requirements

• Custom orders or modifications: If there are any requests to personalise the size / material / module / design of an existing product, all the details must be coordinated with the support of the Product

• Design Head (PDH). All inputs need to be communicated with the client, keeping the PDH in Email CC. All finalised details must be thoroughly mentioned in the email and the Proforma invoice before payment confirmation

• Organise to send swatches when asked by clients. All the swatches need to be tagged with the correct coding that is registered by both parties (Client and Design studio)

• Prepare Proforma Invoice as per finalised requirement in the standard software used by the company.

• Ensure all client records are well maintained, accurate and current.

• Organise for payments, provide necessary information and make sure for timely sales. Keep accounts department informed and in email CC at all times.

• Ensuring payment and cash transaction are carefully managed for accuracy and consistency.

• Communicate sales with accounts department and OM at all times.

• Send order confirmation email (As per draft) once the payment is cleared. All such details to be confirmed with OM before sending

• Details will be > Estimated production time, and tentative Delivery date > Shipping time frame > Details with regards to any changes in order before xxx time

• Delivery confirmation email: All necessary information to be gathered from client (As per draft)

> Billing details (Name, address, GST no)

> Shipping details (Name, address, contact person who will receive the consignment)

> Information for Unloading of material

> Width for entry of big sized tempo through the lane / entry gate > Alloted space for parking, and unloading of material, distance to the elevator . staircase

> Floor no / number of flights for stairway

> Availability of service elevator OR Availability of Passenger elevator

> Width of Staircase. Furniture placement guidance / actual space for to keep material.

> Update Client for scheduled timings and any other important communication.

> Keep the client informed if there are any delays with the order, or schedule the exact delivery date in accordance to their availability.

Post Delivery:

• Update from client post delivery and acceptance of goods. Logistics Incharge, SM & OM to be informed of the status of the delivery. Any update or details to be immediately communicated via email to keep record of the conversation.

• Any mishaps or grievances to be addressed by email followed with the necessary acton / solution after consulting with the OM.

• After Sales Service: Thank you email - stating Warranty details

• Assembly Booklet and arrange a video call for assembly assistance, if required.

• Returns & Damages.

• Resolve any complaints, additional requirements post delivery

of goods. All information to be communicated to the necessary department. Any rework, design update, product replacement to be communicated with the OM & OP and PDH. Commitments and solution to be addressed only after approval of the OM.

• Maintaining files and filing system

• Completion of administrative tasks as assigned by Office Manager

• A big part of your job involves gathering and analysing data to help you understand your customer base and coming up with suggestions for improving the existing strategy.

• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.

• Take feedback from customers and share it with support teams

• Prepares reports by collecting, analyzing, and summarizing information.

• Maintains quality service by establishing and enforcing organization standards.

• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.

• Contributes to team effort by accomplishing related results as needed.

• Liaise with other managers to plan future development and strategies for the overall growth of the company.

Pls Contact to sairam.akirala

@

kiaraglobalservices.com

798

981 217 8

Skills and attributes for success

To qualify for the role, you must have

• Experience of minimum 2 years, CTC – 18LPA
• Ability to develop Deep Learning frameworks to solve problems.
• Design and create platforms for image processing and visualization.
• Knowledge of computer vision libraries.
• Understanding of dataflow programming.
• B.E. (E&TC /Computer / IT / Mechanical / Electronics)
• C++, video analytics, CUDA, Deepstream

The opportunity

We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives.

Some of your responsibilities will include:

• Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems.
• Take ownership to drive computer vision solutions and meet customer requirements.
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future.
• Developing data handling and machine learning pipelines for training
• In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection
• Implementing algorithms in robust, efficient, and well-tested code.

The ideal candidate would be a person having a strong technical know-how of Drupal application development & CMS concepts, backed with an equally strong hands-on experience. He / She should be fluent with the design concepts using Drupal 8 and above(Must) as well as be well versed with the best practices in the development, testing & deployment phases.

Experience : 5 – 9 years

Contract duration : 6 months

Major Accountability

• Demonstrate expertise in authoring & customizing Drupal modules as well as have experience in working with views, panels and features.
• Carry-out impact analysis & estimation for given set of requirements.
• Develop code by adhering to the Drupal, security and accessibility standards.
• Act as liaison with the client for troubleshooting: investigate, analyze, and solve software problems.
• Work self-directed and independently.

Essential Skills & Experience

• Have overall 4-8 years of IT experience on Drupal 8 platforms.
• Have expertise in developing complex websites based on Drupal 8 platforms and framework-based web applications.
• Have expertise in LAMP environment.
• Have working knowledge of web servers like Apache, Nginx etc.
• Have strong experience with source/version control systems.
• Have excellent communication, analytical & presentation skills.

Education

• Minimum education: B.E., BTech, MCA
• Languages: English written & spoken