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

About CITTA

The Lexicon Group, under the leadership of Pankaj Sharma has journeyed from very humble beginnings and has seen an upward growth year after year. The Lexicon Group started from education but has now diversified to other sectors like FMCG, Ed-tech, Law Aggregator Platform, Media, Fitness etc. The latest addition to the kitty of The Lexicon Group has been a newspaper (Pune Mirror and Civic Mirror), which has been taken over from the Times of India Group. The motto for The Lexicon Group is mindfully chosen ‘Believe in Yourself’, probably the three strongest words listed together which have the potential of changing lives if you believe in them and that is what Lexicon group try to ensure.

CITTA (Lexicon Lifestyle Private Limited) is a premium-quality natural baby bath and skincare brand that is safe, tested and gentle. CITTA Products are Free of Toxins, Parabens, Sulphates, Silicones, Mineral Oil, and Allergens and are Dermatologically Tested. We are a cruelty-free brand. We are expanding our core team, which is determined to achieve results.

Job Description

• Write, edit and publish content for websites, blogs, videos, social media posts/campaigns, email campaigns, podcasts, e-books, whitepapers, and more.
• Effective, consistent and reader-friendly writing style.
• Strong English writing skills and basic familiarity with the internet and search engines.
• Capable of writing an article on any subject, theme, blog or website.
• Ability to manage in a fast-paced and deadline-driven environment.
• Concise, clear and confident communication.
• Highly organized and self-motivated to establish and achieve goals.
• Create content that motivates, inspires, educates, informs, sells, and simply, provides information, across a wide variety of digital platforms.
• Work closely with content marketing and digital marketing to produce content that generates results
• A content writer should clearly understand the objectives, and target audience, and assure the content is user-friendly and keyword/SEO Optimized.
• Writing content as needed, including blogs, articles, web pages, etc.
• The content should be informative and engaging and should enable visitors to get their information promptly and efficiently.

Content and Relationship Manager Requirement

• Bachelor’s Degree in Mass Communication, English and Related field
• 1-2 years experience in writing content
• Strong communication and interpersonal skills and ability to build and maintain relationships
• Highly articulate with experience in developing content based on consumer needs or data insights
• Excellent command of written and spoken English, as well as an ability to assess visual communication, to enable evaluation of motivating, accurate and effective communications.
• Innovative, self-reliant and determined approach to duties with an ability to work and think creatively

• Attentive to detail and organized
• Must be self-motivated and flexible.

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.

Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

Outcomes:

Interpret the application/feature/component design to develop the same in accordance with specifications.

Code debug test document and communicate product/component/feature development stages.

Validate results with user representatives; integrates and commissions the overall solution

Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions

Optimises efficiency cost and quality.

Influence and improve customer satisfaction

Set FAST goals for self/team; provide feedback to FAST goals of team members

Measures of Outcomes:

Adherence to engineering process and standards (coding standards)

Adherence to project schedule / timelines

Number of technical issues uncovered during the execution of the project

Number of defects in the code

Number of defects post-delivery

Number of non compliance issues

On time completion of mandatory compliance trainings

Outputs Expected:

Code:

Code as per design

Follow coding standards

templates and checklists

Review code – for team and peers

Documentation:

Create/review templates

checklists

guidelines

standards for design/process/development

Create/review deliverable documents. Design documentation

r and requirements

test cases/results

Configure:

Define and govern configuration management plan

Ensure compliance from the team

Test:

Review and create unit test cases

scenarios and execution

Review test plan created by testing team

Provide clarifications to the testing team

Domain relevance:

Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client.

Learn more about the customer domain identifying opportunities to provide valuable addition to customers

Complete relevant domain certifications

Manage Project:

Manage delivery of modules and/or manage user stories

Manage Defects:

Perform defect RCA and mitigation

Identify defect trends and take proactive measures to improve quality

Estimate:

Create and provide input for effort estimation for projects

Manage knowledge:

Consume and contribute to project related documents

share point

libraries and client universities

Review the reusable documents created by the team

Release:

Execute and monitor release process

Design:

Contribute to creation of design (HLD

LLD

SAD)/architecture for Applications/Features/Business Components/Data Models

Interface with Customer:

Clarify requirements and provide guidance to development team

Present design options to customers

Conduct product demos

Manage Team:

Set FAST goals and provide feedback

Understand aspirations of team members and provide guidance opportunities etc

Ensure team is engaged in project

Certifications:

Take relevant domain/technology certification

Skill Examples:

Explain and communicate the design / development to the customer

Perform and evaluate test results against product specifications

Break down complex problems into logical components

Develop user interfaces business software components

Use data models

Estimate time and effort required for developing / debugging features / components

Perform and evaluate test in the customer or target environment

Make quick decisions on technical/project related challenges

Manage a Team mentor and handle people related issues in team

Maintain high motivation levels and positive dynamics in the team.

Interface with other teams designers and other parallel practices

Set goals for self and team. Provide feedback to team members

Create and articulate impactful technical presentations

Follow high level of business etiquette in emails and other business communication

Drive conference calls with customers addressing customer questions

Proactively ask for and offer help

Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.

Build confidence with customers by meeting the deliverables on time with quality.

Estimate time and effort resources required for developing / debugging features / components

Make on appropriate utilization of Software / Hardware’s.

Strong analytical and problem-solving abilities

Knowledge Examples:

Appropriate software programs / modules

Functional and technical designing

Programming languages – proficient in multiple skill clusters

DBMS

Operating Systems and software platforms

Software Development Life Cycle

Agile – Scrum or Kanban Methods

Integrated development environment (IDE)

Rapid application development (RAD)

Modelling technology and languages

Interface definition languages (IDL)

Knowledge of customer domain and deep understanding of sub domain where problem is solved

Additional Comments:

About the Role: We are looking for a Senior Software Developer with strong experience in .NET development and Microsoft Azure to help build and scale our next-generation FinTech platforms. You will work on secure, high-availability systems that power core financial services, collaborating with cross-functional teams to deliver features that directly impact our customers. You’ll play a key role in developing backend services, cloud integrations, and microservices that are performant, secure, and compliant with financial regulations. Key Responsibilities: Design, develop, and maintain backend services and APIs using C# and .NET Core. Build and deploy cloud-native applications on Microsoft Azure, leveraging services such as App Services, Azure Functions, Key Vault, Service Bus, and Azure SQL. Contribute to architecture decisions and write clean, maintainable, well-tested code. Participate in code reviews, technical planning, and sprint ceremonies in an Agile environment. Collaborate with QA, DevOps, Product, and Security teams to deliver robust, secure solutions. Ensure applications meet high standards of security, reliability, and scalability, especially in a regulated FinTech environment. Support and troubleshoot production issues and contribute to continuous improvement. Required Skills & Qualifications: 5–8 years of experience in software development, primarily with C# / .NET Core. Strong hands-on experience with Microsoft Azure, including Azure App Services, Azure Functions, Azure SQL, Key Vault, and Service Bus. Experience building RESTful APIs, microservices, and integrating with third-party services. Proficiency with Azure DevOps, Git, and CI/CD pipelines. Solid understanding of software design principles, object-oriented programming, and secure coding practices. Familiarity with Agile/Scrum development methodologies. Bachelor’s degree in Computer Science, Engineering, or a related field.

Skills: Dot Net, C#, Azure

Must-Haves

Net with Azure Developer -Required: Function app, Logic Apps, Event Grid, Service Bus, Durable Functions

About Us

We are a growing software solutions company focused on providing innovative CRM and business automation products to clients across industries. Join our dynamic sales team and start your career in tech-driven sales!

Job Description

We are looking for an enthusiastic Sales Executive to promote our software solutions and generate leads. The ideal candidate should have good communication skills, confidence while speaking with clients, and a keen interest in technology and sales.

Key Responsibilities

• Make outbound calls to prospective clients to introduce our software products.
• Understand client needs and explain relevant software features and benefits.
• Maintain a database of leads and follow up systematically.
• Schedule product demos for the sales team.
• Achieve daily/weekly call and lead targets.

Required Skills

• Excellent verbal communication in English and Hindi.
• Basic computer knowledge (MS Office, CRM tools preferred).
• Strong persuasion and listening skills.
• Positive attitude and willingness to learn.

Qualifications

• Minimum: 12th pass / Graduate in any discipline.
• Freshers with a passion for sales are highly encouraged to apply!

Job Types: Full-time, Permanent, Fresher

Work Location: In person

• Strong Python Coding skills and OOP skills
• Should have worked on Big Data product Architecture
• Should have worked with any one of the SQL-based databases like MySQL, PostgreSQL and any one of
• NoSQL-based databases such as Cassandra, Elasticsearch etc.
• Hands on experience on frameworks like Spark RDD, DataFrame, Dataset
• Experience on development of ETL for data product
• Candidate should have working knowledge on performance optimization, optimal resource utilization, Parallelism and tuning of spark jobs
• Working knowledge on file formats: CSV, JSON, XML, PARQUET, ORC, AVRO
• Good to have working knowledge with any one of the Analytical Databases like Druid, MongoDB, Apache Hive etc.
• Experience to handle real-time data feeds (good to have working knowledge on Apache Kafka or similar tool)

• Python and Scala (Optional), Spark / PySpark, Parallel programming