11+ BPOS Jobs in Pune | BPOS Job openings in Pune

Responsibilities

• To Attend the inbound calls of HNI customers in both Retail Liabilities & Credit Cards and process the queries.
• To identify and convert the opportunities for cross-selling (banking products).
• Responsible for quality communication and customer servicing within laid down productivity and service benchmarks.
• Ensure customer “delight” and consistent service experience, including timely resolution of customer queries/issues.
• Complete the logs specified by the process (End-of-day target).
• Adherence to Information Security norms & quality process norms.
• To be aware of and comply with any updates about the process.
• Act on the feedback given by Team Leader/Team Coach or Quality or on the coaching provided to the team as guidelines for improving performance.

Requirements

• Graduate
• Preferably 1-2 years with 6 months which should be in a customer service role - Understanding of call centre industry an advantage.
• Excellent communication skills – Verbal & Written.
• Flexible to work 24/7 (For Females: 7 AM till 8 PM) including Sundays/holidays
• Flexible to get scattered 8 Week Offs in a month with 9 hours shift
• Good listening skills and strong communication abilities.
• Be Confident and willing to learn with a flair for knowledge. Possess an upbeat, positive can-do attitude & works with integrity
• Team Player, collaborative Self-motivated person with the ability to act as a role model within the organization.
• Should be able to establish rapport quickly with peers, managers & customers.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

Requirements:

·  UIPath certification

·  Proficient in UI Path Platform, Test Manage, Test Suite, with 6+ years of Experience on Test Automation

·  Hands-on experience in building automated scripts using Low-Code No-Code Platform (UIpath)

·  Experience on Testing SOAP or REST API

·  Experience building data driven tests and frameworks for Web, Windows, and Micro services.

·  Understanding of test methodologies (regression, functional, unit, integration, code coverage, performance, etc.)

·  Experience building data driven tests and frameworks for Web, Windows, and Micro services.

·  Designing and developing test automation frameworks and understanding of test automation design patterns and software testing principles.

·  Familiarity with Relational Databases and SQL

·  Bachelor's degree in computer science, engineering or related field

·  Minimum of 7 years of experience in software testing and test automation

·  Minimum of 5 years of experience in UIPath test automation

·  Strong knowledge of test automation frameworks and tools

·  Experience with continuous integration and continuous delivery (CI/CD) pipelines

·  Ability to analyze and debug complex issues

·  Excellent problem-solving skills

·  Strong communication skills and ability to work collaboratively in a team environment

·  Knowledge of agile methodologies

 Flexibility

Need to be flexible with respect to working times, provide two hours overlap with IST (Central Time) and UK time on an ongoing basis.

If you are passionate about test automation and have experience with UIPath, we encourage you to apply for this exciting opportunity. We offer a competitive salary, excellent benefits, and opportunities for growth and development.

ABOUT US.

Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.

As a team culture, Ashnik is a family for its team members. Each member brings in different perspective, new ideas and diverse background. Yet we all together strive for one goal – to deliver best solutions to our customers using open source software. We passionately believe in the power of collaboration. Through an open platform of idea exchange, we create vibrant environment for growth and excellence.

THE POSITION

Ashnik is looking for talented and passionate people to be part of the team for an upcoming project at client location.

QUALIFICATION AND EXPERIENCE

• Preferably have a working experience of 4 Years and more , on production PostgreSQL DBs.
• Experience of working in a production support environment
• Engineering or Equivalent degree
• Passion for open-source technologies is desired

ADDITIONAL SKILLS

• Install & Configure PostgreSQL, Enterprise DB
• Technical capabilities PostgreSQL 9.x, 10.x, 11.x
• Server tuning
• Troubleshooting of Database issues
• Linux Shell Scripting
• Install, Configure and maintain Fail Over mechanism
• Backup - Restoration, Point in time database recovery
• A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.

RESPONSIBILITIES

• Monitoring database performance
• Optimizing Queries and handle escalations
• Analyse and assess the impact and risk of low to medium risk changes on high profile production databases
• Implement security features
• DR implementation and switch over

LOCATION: Pune

Experience: 8 yrs plus

Package: upto 17 LPA

Minimum 4 years exp 

Skillsets:

1. Build automation/CI: Jenkins
2. Secure repositories: Artifactory, Nexus
3. Build technologies: Maven, Gradle
4. Development Languages: Python, Java, C#, Node, Angular, React/Redux
5. SCM systems: Git, Github, Bitbucket
6. Code Quality: Fisheye, Crucible, SonarQube
7. Configuration Management: Packer, Ansible, Puppet, Chef
8. Deployment: uDeploy, XLDeploy
9. Containerization: Kubernetes, Docker, PCF, OpenShift
10. Automation frameworks: Selenium, TestNG, Robot
11. Work Management: JAMA, Jira
12. Strong problem solving skills, Good verbal and written communication skills
13. Good knowledge of Linux environment: RedHat etc.
14. Good in shell scripting
15. Good to have Cloud Technology : AWS, GCP and Azure

We are hiring Frontend Developer for Yugabyte.

We are sharing the details about the role and the company for your reference. Kindly review the details and reply with your updated resume asap, if you find the opportunity interesting.

About YugabyteDB:

The high-performance distributed SQL database for global, internet-scale apps.

Yugabyte is the company behind the open source YugabyteDB, a high-performance distributed SQL database for global, internet-scale applications.

Yugabyte is a Transactional, distributed SQL database designed for resilience and scale. Its 100% open source, PostgreSQL compatible, enterprise-grade RDBMS built to run across all your cloud environments

We are a series B funded company and are catering to customers in all spheres. Our investors include Lightspeed, Dell, 8VC and Wipro. Our founders and engineers include creators of Cassandra & HBase and have an experience of running Facebook's public-cloud scale DBaaS handling 1+ Trillion Ops per day and 100+ Petabytes of data. They have scaled the data platform at Facebook from 30M to 1.4B users.

You can find more information about us at the below links

• Yugabyte Youtube Channel - Refer https://www.youtube.com/channel/UCL9BhSLRowqQ1TyBndhiCEw">here.
• Product Documentation - Refer https://docs.yugabyte.com/">here

Built using a unique combination of high-performance document store, auto sharding, per-shard distributed consensus replication and multi-shard ACID transactions (inspired by Google Spanner), YugabyteDB serves both scale-out RDBMS and internet-scale OLTP workloads with low query latency, extreme resilience against failures and global data distribution.

As a cloud native database, it can be deployed across public and private clouds as well as in Kubernetes environments with ease.

Investors: We are backed by top-tier investors including Lightspeed Venture Partners, Dell Technologies Capital, 8VC and Wipro Ventures.

Follow the links to know more about us:

• GitHub (Apache 2.0): https://github.com/yugabyte/yugabyte-db">https://github.com/yugabyte/yugabyte-db
• Docs: https://docs.yugabyte.com">https://docs.yugabyte.com
• https://www.linkedin.com/company/yugabyte/about/">https://www.linkedin.com/company/yugabyte/about/
• https://www.yugabyte.com/">https://www.yugabyte.com/
• https://www.crunchbase.com/organization/yugabyte/company_financials">https://www.crunchbase.com/organization/yugabyte/company_financials

Funding:

Yugabyte has raised a total of $103M in funding over 4 rounds. Their latest funding was raised on Mar 3, 2021 from a Series B round. Yugabyte is funded by 6 investors. Lightspeed Venture Partners and Dell Technologies Capital are the most recent investors. Yugabyte has a post-money valuation in the range of $100M to $500M as of Jun 9, 2020, according to PrivCo.

Job Description:

About this role with short note :

Years of Experience: 2-5 years

what we are looking for:

• You must know the in and out of JavaScript to design optimized and modular components that need to be used across our platform.
• You must be well versed with the React/Redux framework.
• Strong understanding of semantic HTML/HTML5, CSS/CSS3
• Experience in setting up the full UI workflow layer right from Development, Testing, Building, and Deployment.
• Good understanding of MVC architecture.

Good to have:

• Experience in frameworks like Bootstrap, Foundation, and CSS pre-processors like SASS and LESS.
• Exposure to page speed improvement techniques.
• Exposure to building responsive websites at scale.
• Prior work experience in Angular, Backbone, React 

We’re looking for an all-star Relationship Manager to join our Pune team.

If you are high energy, upbeat, enthusiastic and confident—with excellent communication and people skills. You are an above and beyond team player who is extremely detail-oriented and meticulous. In addition, you’re fun to work (and workout) with and have a strong passion towards health & fitness as well as being part of high-growth startups, then Fitato is the perfect fit for you.

The ideal candidate will be responsible for gaining a deep understanding of our partner's'business objectives and challenges and creating strategic recommendations based off of this understanding. You will do so by building a strong relationship with our partners and analyzing data. Essentially, you will act as the main point of contact for our partners. 

Responsibilities

• Dialogue with our clients to understand their business objectives and challenges
• Analyze partners' data and provide strategic recommendations to clients
• Monitor user reservations and partner promotion
• Build efficiency in support processes for improving partners side experience
• Resolve operational problems on the partners' side within a specified time
• Attend meetings with partner facilities for orientations, branding, resolving issues & relationship building.
• Handle invoicing, including calculation of completed units of service
• Serve as the one-point contact for the sales team for all reservations and schedule of the activities.

Qualifications

• Positive, can-do, roll-up-your-sleeves, self-starter mindset and attitude.
• Highly organized, multi-tasking skills with strong attention to detail.
• Strong work ethic with a relentless desire to go above and beyond.
• Excellent time management skills and ability to work under pressure
• Strong communication and interpersonal skills

CTC : 2.0L - 4.0L· P.A

Role : Full Time · 

Perks : Unlimited fitness classes (all you can sweat) and the chance to gain experience at a fast-moving, hyper-growth start-up.