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Job Title : Python Data Engineer

Experience : 4+ Years

Location : Bangalore / Hyderabad (On-site)

Job Summary :

We are seeking a skilled Python Data Engineer to work on cloud-native data platforms and backend services.

The role involves building scalable APIs, working with diverse data systems, and deploying containerized services using modern cloud infrastructure.

Mandatory Skills : Python, AWS, RESTful APIs, Microservices, SQL/PostgreSQL/NoSQL, Docker, Kubernetes, CI/CD (Jenkins/GitLab CI/AWS CodePipeline)

Key Responsibilities :

• Design, develop, and maintain backend systems using Python.
• Build and manage RESTful APIs and microservices architectures.
• Work extensively with AWS cloud services for deployment and data storage.
• Implement and manage SQL, PostgreSQL, and NoSQL databases.
• Containerize applications using Docker and orchestrate with Kubernetes.
• Set up and maintain CI/CD pipelines using Jenkins, GitLab CI, or AWS CodePipeline.
• Collaborate with teams to ensure scalable and reliable software delivery.
• Troubleshoot and optimize application performance.

Must-Have Skills :

• 4+ years of hands-on experience in Python backend development.
• Strong experience with AWS cloud infrastructure.
• Proficiency in building microservices and APIs.
• Good knowledge of relational and NoSQL databases.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools and DevOps processes.
• Strong problem-solving and collaboration skills.

Job Summary:

We are seeking a dynamic and experienced Store Manager to lead our apparel store. The ideal candidate will drive sales, manage store operations, ensure excellent customer service, and lead a high-performing team.

Key Responsibilities:

1. Sales & Performance Management:

• Achieve and exceed sales targets and KPIs.
• Monitor and analyze sales trends to implement improvement strategies.

1. Team Leadership:

• Recruit, train, and develop store staff.
• Motivate and manage the team to deliver high performance.
• Conduct performance appraisals and address any staff issues.

1. Customer Experience:

• Ensure superior customer service and satisfaction.
• Resolve customer complaints professionally and promptly.

1. Store Operations & Administration:

• Manage inventory, stock levels, and deliveries.
• Oversee cash handling, POS systems, and store reporting.
• Maintain store presentation, cleanliness, and safety standards.

1. Merchandising & Marketing:

• Implement visual merchandising strategies aligned with brand standards.
• Plan in-store promotions, campaigns, and loyalty programs.
• Keep up-to-date with fashion trends and product knowledge.

1. Compliance & Standards:

• Ensure compliance with company policies, procedures, and health & safety regulations.

Qualifications & Skills:

• Bachelor’s degree in Retail Management, Fashion, or related field (preferred).
• Proven experience as a store manager, preferably in apparel or fashion retail.
• Strong leadership and team management skills.
• Excellent communication, interpersonal, and customer service skills.
• Knowledge of inventory management, merchandising, and retail operations.
• Analytical mindset with the ability to drive sales and performance.

• Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
• Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
• Good experience in Javascript.
• Expertise in Linux / Windows environment.
• Good Experience in Scripting languages like PowerShell / Bash/ Python.
• Proficiency in revision control and DevOps best practices like Git

Job description:

Role: Pega Developer

Experience: 3–6 Years

Location: Chennai / Bangalore / Hyderabad / Pune / Gurgaon

Work Mode: Hybrid

Employment Type: Direct Contract with Haparz

Budget: Up to 18 LPA

We are looking for a skilled Pega Developer with hands-on experience in enterprise application development, workflow automation, integrations, and background processing within the Pega Platform. The ideal candidate should have strong technical expertise in Pega case management, APIs, Kafka integrations, SQL, and troubleshooting complex applications in an agile environment.

Key Responsibilities

• Design, develop, and enhance applications using the Pega Platform
• Build scalable workflow automation and case management solutions
• Work on background processing components including Queue Processors, Job Schedulers, and Agents
• Develop and maintain integrations using REST/SOAP APIs and Kafka
• Write and optimize SQL queries and database interactions
• Perform API testing and validation using Postman
• Troubleshoot application issues, debug defects, and improve performance
• Collaborate with business, QA, and technical teams for requirement analysis and delivery
• Participate in code reviews, deployment activities, and production support
• Follow best practices for coding, security, and application performance

Required Skills

• Strong hands-on experience in Pega Development
• Expertise in Pega Case Management & Integrations
• Experience with Queue Processors, Job Schedulers, and background processing
• Knowledge of Kafka and event-driven integrations
• Strong SQL and database skills
• Experience with REST/SOAP APIs and Postman
• Understanding of Agile/Scrum methodology
• Good communication and stakeholder management skills

Preferred Skills

• Pega Certifications – CSA / CSSA / LSA
• Exposure to CI/CD pipelines and Git
• Knowledge of cloud environments and microservices architecture

Job brief

We are looking for a Lead Data Scientist to lead a technical team and help us gain

useful insight out of raw data.

Lead Data Scientist responsibilities include managing the data science team, planning

projects and building analytics models. You should have a strong problem-solving ability

and a knack for statistical analysis. If you’re also able to align our data products with our

business goals, we’d like to meet you.

Your ultimate goal will be to help improve our products and business decisions by

making the most out of our data.

Responsibilities

● Conceive, plan and prioritize data projects

● Ensure data quality and integrity

● Interpret and analyze data problems

● Build analytic systems and predictive models

● Align data projects with organizational goals

● Lead data mining and collection procedures

● Test performance of data-driven products

● Visualize data and create reports

● Build and manage a team of data scientists and data engineers

Requirements

● Proven experience as a Data Scientist or similar role

● Solid understanding of machine learning

● Knowledge of data management and visualization techniques

● A knack for statistical analysis and predictive modeling

● Good knowledge of R, Python and MATLAB

● Experience with SQL and NoSQL databases

● Strong organizational and leadership skills

● Excellent communication skills

● A business mindset

● Degree in Computer Science, Data Science, Mathematics or similar field

● Familiar with emerging/cutting edge, open source, data science/machine learning

libraries/big data platforms

Job Responsibilities

• Design, build & test ETL processes using Python & SQL for the corporate data warehouse
• Inform, influence, support, and execute our product decisions
• Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
• Evaluate and prototype new technologies in the area of data processing
• Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
• High energy level, strong team player and good work ethic
• Data analysis, understanding of business requirements and translation into logical pipelines & processes
• Identification, analysis & resolution of production & development bugs
• Support the release process including completing & reviewing documentation
• Configure data mappings & transformations to orchestrate data integration & validation
• Provide subject matter expertise
• Document solutions, tools & processes
• Create & support test plans with hands-on testing
• Peer reviews of work developed by other data engineers within the team
• Establish good working relationships & communication channels with relevant departments

Skills and Qualifications we look for

• University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
• 4 - 6 years experience with data engineering.
• Strong coding ability and software development experience in Python.
• Strong hands-on experience with SQL and Data Processing.
• Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
• Good working experience in any one of the ETL tools (Airflow would be preferable).
• Should possess strong analytical and problem solving skills.
• Good to have skills - Apache pyspark, CircleCI, Terraform
• Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
• Understanding & experience of agile / scrum delivery methodology

ROR :: JD

Immediate Joiner

• Having experience on Ruby on Rails.
• Strong SQL skills with MySQL or PostgreSQL
• Knowledge on MongoDB an advantage.
• Experience with TDD (test driven development) or RSpec.
• Having experience on REST/API.
• JRuby experience is an advantage
• Knowledge on Exilir and functional programming a plus and JRuby is an advantage.
• Experience using Git productively in a team environment.
• Experience into Amazon web services
• Knowledge on Jenkins is an advantage.
• Knowledge on Docker.
• Excellent analytical and problem-solving skills

Mandatory Requirement/ Preference:

- 4 years of experience for delivering enterprise solutions or products using full SDLC 

- 4 years of work experience with enterprise solutions for Microsoft platform (SQL Server, stored procedures, WCF, C#.net, Entity Framework) 

- Extensive knowledge and experience with creating and maintaining stored procedure in MS SQL Server.

- Working with WEB API added advantage