Director - Data Engineering

at Searce Inc

Director - Data Engineering

Searce Inc

Company

Home

Director - Data Engineering

at Searce Inc

Posted by Jatin Gereja

10 - 18 yrs

Best in industry

Bengaluru (Bangalore), Mumbai, Pune

Skills

Google Cloud Platform (GCP)

Amazon Web Services (AWS)

Enterprise Data Warehouse (EDW)

Data modeling

Big Data

Data architecture

Team leadership

Python

PySpark

Apache Kafka

Hadoop

Apache Hive

Scala

databricks

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.

Director - Data engineering

What are we looking for

real solver?

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.

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?

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About Searce Inc

Founded :

2004

Type :

Products & Services

Size :

1000-5000

Stage :

Profitable

About

What is ‘searce’

Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.

The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.

What we do

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.

We are a category defining niche’ cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work
We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes
We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries
Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services
As one of the top 5 niche’ full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.

Who we are

We are passionate improvers, solvers & futurists. Driven by our engineering excellence mindset, we care most about delivering intelligent, impactful & futuristic business outcomes. Searcians are motivated by continuous improvement & solving for better in everything we do.

At the core, a Searcian is self-driven to become better, everyday. In passionate pursuit of the finest degree of excellence we drive exceptional outcomes in everything we do.

We believe that trust is the most important value. We also believe that we need to ‘earn the trust’, everytime one engages with us. And earning trust for us is far more important than anything else. We aim to be the *most trusted* tech consulting partner for our clients.

We are HAPPIER at heart. Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. We live the HAPPIER Culture Code.

Being HAPPIER.

How we work

Customers. Partners. Our aim is to build relationships with customers for life. And meaningfully improve the life of every customer.
We do what we say. We say what we do. We are uncomfortably honest and transparent. Being genuine wins trust & makes people happier.
Mistakes are encouraged. We make mistakes. Tons of those. Everyday. And we don’t mind apologizing to our juniors, peers or superiors. We are no ego-doers.
Underpromise. Overdeliver. We work with a deep desire to go above and beyond in everything we do. Everytime.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

What is ‘searce’

What we do

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.

We are a category defining niche’ cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work
We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes
We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries
Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services
As one of the top 5 niche’ full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.

Who we are

At the core, a Searcian is self-driven to become better, everyday. In passionate pursuit of the finest degree of excellence we drive exceptional outcomes in everything we do.

We are HAPPIER at heart. Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. We live the HAPPIER Culture Code.

Being HAPPIER.

How we work

Customers. Partners. Our aim is to build relationships with customers for life. And meaningfully improve the life of every customer.
We do what we say. We say what we do. We are uncomfortably honest and transparent. Being genuine wins trust & makes people happier.
Mistakes are encouraged. We make mistakes. Tons of those. Everyday. And we don’t mind apologizing to our juniors, peers or superiors. We are no ego-doers.
Underpromise. Overdeliver. We work with a deep desire to go above and beyond in everything we do. Everytime.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

Hardik Parekh

Connect

Vishal Jarsania

Connect

Vamsi Krishna

Connect

Company social profiles

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Strong UX Researcher Profile
Mandatory (Experience 1) - Must have 3+ YOE hands-on UX Research / User Research for B2C Products
Mandatory (Experience 2) - Should have hands-on experience in User Research, Persona's, User Stories, Work-Flows, and Usability Testing
Mandatory (Experience 3) - Must have worked on both qualitative and quantitative research methodologies
Mandatory (Portfolio) - Portfolio showcasing UX Research works for Good B2C Apps / Website / Product Companies

Strong UX Researcher Profile
Mandatory (Experience 1) - Must have 3+ YOE hands-on UX Research / User Research for B2C Products
Mandatory (Experience 2) - Should have hands-on experience in User Research, Persona's, User Stories, Work-Flows, and Usability Testing
Mandatory (Experience 3) - Must have worked on both qualitative and quantitative research methodologies
Mandatory (Portfolio) - Portfolio showcasing UX Research works for Good B2C Apps / Website / Product Companies

AIML Engineer

at Appiness Interactive

Posted by Shashirekha S

Bengaluru (Bangalore)

5 - 13 yrs

₹10L - ₹23L / yr

Artificial Intelligence (AI)

Machine Learning (ML)

Large Language Models (LLM)

Large Language Models (LLM) tuning

Vector database

+4 more

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

SEO Analyst/Executive

at Spoclearn Private Limited

Posted by Soni Agarwal

Remote only

1 - 2 yrs

₹1.6L - ₹1.8L / yr

Search Engine Optimization (SEO)

MS-Excel

MS-PowerPoint

MS-Word

Search Engine Marketing (SEM)

+2 more

Job Requirements

Minimum of 6 months – 2 years experience in Search Engine Optimization (SEO)
Proficiency in MS Excel, PowerPoint, and Word
Experience working in an SEO agency would be an added advantage
Experience with website analysis using a variety of analytics tools including Google Analytics, SEO Majestic as well as internal reporting tool
Experience working with popular keyword tools (Google, WordTracker, Keyword Discovery, etc)
Desired: Knowledge of HTML/CSS and website administrations
Should possess excellent communication skills

Job Descriptions

Perform keyword research in coordination with business objectives to optimize existing content and uncover new opportunities
Provide SEO analysis and recommendations in coordination with elements and structure of websites and web pages
Provide recommendations and execute strategies for content development in coordination with SEO goals – general and keyword specific
Administer search engine programs (XML sitemaps and webmaster tools) for purposes of diagnostic reporting
Help to create and support marketing content to socialize and use for social media purposes (e.g. customer videos briefs, customer case studies, blog posts, posts from analysts and customers)
Implement link-building campaigns in coordination with SEO goals
Assist in the development and execution of communication/content strategies via social communities in coordination with SEO goals
Keep pace with SEO, search engine, social media and internet marketing industry trends and developments
Operationally strong with regular content updates, blogging, website analysis, and more.
Monitor and administer web analytics dashboards, reports and key reporting tools, and point out key areas of importance in accordance with the goals
Monitor and evaluate search results and search performance across the major search channels
Communication to team and management on project development, timelines, and results
Work closely with the other team members to meet the goals

Job Requirements

Minimum of 6 months – 2 years experience in Search Engine Optimization (SEO)
Proficiency in MS Excel, PowerPoint, and Word
Experience working in an SEO agency would be an added advantage
Experience with website analysis using a variety of analytics tools including Google Analytics, SEO Majestic as well as internal reporting tool
Experience working with popular keyword tools (Google, WordTracker, Keyword Discovery, etc)
Desired: Knowledge of HTML/CSS and website administrations
Should possess excellent communication skills

Job Descriptions

Perform keyword research in coordination with business objectives to optimize existing content and uncover new opportunities
Provide SEO analysis and recommendations in coordination with elements and structure of websites and web pages
Provide recommendations and execute strategies for content development in coordination with SEO goals – general and keyword specific
Administer search engine programs (XML sitemaps and webmaster tools) for purposes of diagnostic reporting
Help to create and support marketing content to socialize and use for social media purposes (e.g. customer videos briefs, customer case studies, blog posts, posts from analysts and customers)
Implement link-building campaigns in coordination with SEO goals
Assist in the development and execution of communication/content strategies via social communities in coordination with SEO goals
Keep pace with SEO, search engine, social media and internet marketing industry trends and developments
Operationally strong with regular content updates, blogging, website analysis, and more.
Monitor and administer web analytics dashboards, reports and key reporting tools, and point out key areas of importance in accordance with the goals
Monitor and evaluate search results and search performance across the major search channels
Communication to team and management on project development, timelines, and results
Work closely with the other team members to meet the goals

SSE Backend Developer

at Treebo Hotels

4 recruiters

Posted by Ankit Chaueasia

Remote only

3 - 6 yrs

₹10L - ₹30L / yr

Python

Django

Flask

Amazon Web Services (AWS)

Microservices

+1 more

SSE Backend
Responsibilities:
Drives technology stack choices for treebo tech teams.
Comfortable working in fuzzy environments and changing requirements.
Act as a technical mentor to your team.

Requirements:
Effective problem solving skills in complex & large scale environment.
Exposure in Distributed systems and micro services.
Exposure to a wide variety of problem spaces, technologies.
Very Strong System design, separation of concerns and OO design skills
with ability to craft crisp interfaces and communicate at the right
levels of abstraction.
His / her code should be model code for the rest of the engineering
organisation.
Experience working with web-scale / user path systems.
Experience working with large scale persistent systems including NoSQL
databases.
3 - 6 years of overall experience.
B Tech or higher in Computer Science or equivalent required.

Sales Executive

at Champions group

1 recruiter

Posted by Poojitha Kanampalli

Bengaluru (Bangalore)

1 - 10 yrs

₹2L - ₹3L / yr

Business Development

Sales

Field Sales

Telesales

Job Description:

Individual Contributor role reporting to Business Development Manager.
Minimum 1 year of experience from B2B Presales/ Sales/ Business Development/ Customer Service with upselling involved.
Communication should be above average in both Oral and written with emphasis on vocabulary.
Should be from international focused companies/teams. Domestic also can be considered if communication is excellent.

Involving Business Development activities for US market

B2B sales experience (US Market)
Build and maintain strong client relationships
Lead Generation
Cold calling
Outbound sales experience
Hard core sale
Pre- sales / Online Marketing/ Email Marketing

Job Description:

Individual Contributor role reporting to Business Development Manager.
Minimum 1 year of experience from B2B Presales/ Sales/ Business Development/ Customer Service with upselling involved.
Communication should be above average in both Oral and written with emphasis on vocabulary.
Should be from international focused companies/teams. Domestic also can be considered if communication is excellent.

Involving Business Development activities for US market

B2B sales experience (US Market)
Build and maintain strong client relationships
Lead Generation
Cold calling
Outbound sales experience
Hard core sale
Pre- sales / Online Marketing/ Email Marketing

Inside Sales Executive

at A&T Services Inc.

1 recruiter

Posted by Jahanvi Chawla

Remote, NCR (Delhi | Gurgaon | Noida)

0 - 2 yrs

₹0L - ₹1L / yr

Sales

Business Development

Communication Skills

Learning & Development

Inside Sales

We are looking for a competitive and trustworthy Sales Executive to help us build up our business activities.

Sales Executive responsibilities include discovering and pursuing new sales prospects, negotiating deals and maintaining customer satisfaction. If you have excellent communication skills and feel comfortable reaching out to potential customers to demonstrate our services and products through email and phone, we’d like to meet you.

Ultimately, you’ll help us meet and surpass business expectations and contribute to our company’s rapid and sustainable growth.

Responsibilities

Actively seek out new sales opportunities through cold calling, networking and social media
Set up meetings with potential clients and listen to their wishes and concerns
Prepare and deliver appropriate presentations on products and services
Ensure the availability of stock for sales and demonstrations
Participate on behalf of the company in exhibitions or conferences
Collaborate with team members to achieve better results
Gather feedback from customers or prospects and share with internal teams

Requirements

Proficiency in English
Excellent knowledge of MS Office
Fast learner and passion for sales
Self-motivated with a results-driven approach
Aptitude in delivering attractive presentations
High school degree

We are looking for a competitive and trustworthy Sales Executive to help us build up our business activities.

Ultimately, you’ll help us meet and surpass business expectations and contribute to our company’s rapid and sustainable growth.

Responsibilities

Actively seek out new sales opportunities through cold calling, networking and social media
Set up meetings with potential clients and listen to their wishes and concerns
Prepare and deliver appropriate presentations on products and services
Ensure the availability of stock for sales and demonstrations
Participate on behalf of the company in exhibitions or conferences
Collaborate with team members to achieve better results
Gather feedback from customers or prospects and share with internal teams

Requirements

Proficiency in English
Excellent knowledge of MS Office
Fast learner and passion for sales
Self-motivated with a results-driven approach
Aptitude in delivering attractive presentations
High school degree

Sales Executive

at Appxigo Media

2 recruiters

Posted by Melford D'souza

Goa

1 - 1 yrs

₹2L - ₹3L / yr

Sales

Business Development

Mobile App Marketing

Field Sales

Telesales

Required urgently candidates for Business Development Executive ( handling of clients online ). Person with prior Sales Experience in any field preferred. Freshers can apply. Fluency in English and proficiency in MS Excel/Word a must.

CONTENT VOLUNTEER for eVidyaloka Trust

at eVidyaloka

1 video

1 recruiter

Posted by Namrata Joshi

Anywhere

0 - 1 yrs

₹0L / yr

Internet of Things (IOT)

Microsoft Office

Research & Development

eVidyaloka endeavors to provide quality education to children attending government schools in the remote parts of India. This is ensured by bringing Volunteer Teachers based across the globe to the villages via digital classrooms, with technology as the backbone of the Program. The initiative aims at improving the learning outcome of the children who participate in eVidyaloka's online classes and ensure that they understand and apply the concepts of their respective standards in their regular curriculum subjects. While Teacher Volunteers teach, instant access to high quality content plays a pivotal role in enabling the Teacher to deliver the concepts effectively to the child. Must-Haves: • Comfortable with browsing websites like YouTube, Google Search, PDF documents etc. • Able to Read, Write and Speak the language of instruction - Kannada, Telugu, Bengali, Marathi. • Access to a Desktop/Laptop with high speed Internet. • Prior knowledge of MS Office – Word, PowerPoint, Excel. • An academic orientation and inclination towards visual aids is an added advantage. • Keen to learn and open to constructive suggestions. • Presence of two hours per week is recommended. • An Internship certificate shall be issued on a successful completion.

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