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Job Title: Data Engineer
Location City: Gurugram
Industry: Research and Advisory Services
Role Overview
We are looking for a Senior Data Engineer (7–10 years) to play a foundational role in building Everest Group’s greenfield, Snowflake-based enterprise data platform.
This role is hands-on and ownership-driven, with a strong focus on:
Ingesting data from enterprise SaaS platforms Building scalable Snowflake ELT pipelines
Designing analytics-ready data models Owning the initial Snowflake platform foundations in collaboration with architecture leadership The ideal candidate has deep experience integrating CRM and marketing systems via APIs, is comfortable operating production- grade data pipelines, and can make sound decisions around performance, cost, and reliability.
Key Responsibilities
Robust Data Ingestion Pipelines From Enterprise SaaS Platforms, Including
Salesforce (CRM)
NetSuite (Finance)
Marketing and RevOps tools such as Marketo, 6sense, Gong
SharePoint (files, metadata, permissions)
Develop API-based Ingestion Frameworks Handling
Authentication and authorization
Pagination, rate limits, retries, and failures
Incremental loads, soft deletes, and historical tracking
Schema evolution and upstream source changes
ELT pipelines within Snowflake Write high-quality, optimized SQL for complex
transformations Build and manage data layers including raw, staged, and curated datasets
Optimize Snowflake warehouses, storage, and query performance with a strong focus on cost efficiency
Models Including
Fact and dimension tables
Star and snowflake schemas
Slowly Changing Dimensions (SCD Type 1 and Type 2) Ensure data models support reporting, dashboards, and research analytics Partner with analytics and research teams to deliver analytics-ready, well documented datasets reliability including scheduling, monitoring, alerting, and recovery Implement data quality checks for accuracy, completeness, and freshness
Support Snowflake Platform Foundations Including
Warehouse and environment strategy (dev/test/prod)
Role-based access control (RBAC) Secure handling of sensitive HR and finance data (PII) Troubleshoot and resolve data issues across ingestion, transformation, and consumption layers research, product, and technology stakeholders to translate business needs into data solutions Contribute to data platform architecture discussions and continuous improvement initiatives
Maintain clear documentation for pipelines, data models, and data flows
Follow modern engineering practices including Git-based version control and CI/CD workflows
Education And Experience
Bachelor’s or master’s degree in computer science, Information Technology, Engineering, Mathematics, or related field.
7–10 years of hands-on experience in data engineering or similar roles
Strong hands-on expertise with Snowflake, including ingestion, transformations, and performance optimization
Proven experience ingesting data from SaaS platforms via APIs (HR, CRM, or Marketing systems)
Advanced SQL skills and strong understanding of relational databases and data modeling
Strong Python experience for API integration, data ingestion, and automation Experience with cloud platforms (Azure preferred; AWS/GCP acceptable)
Experience with orchestration or transformation tools such as dbt, Azure Data Factory, or similar
Strong problem-solving skills, ownership mindset, and attention to detail
Purpose of the role
To design and develop accurate layout, manufacturing, and assembly drawings, along with comprehensive Bills of Materials
(BOM), in alignment with project requirements and timelines, ensuring seamless execution, efficient manufacturing, and
successful project delivery.
Technical Skills Required
1. Very good Knowledge of AutoCAD as 2D Software and Solid works as 3d Software.
2. Knowledge of designing of different type of Conveyors system using for material handling.
3. Knowledge Layout reading and preparation.
4. Attention to details in reading and creating 2D drawing & 3D drawing.
5. Good in Dimension Tolerances.
6. Attention to details in creating BOM of Material.
Behavioural Skills Required
1. Good in communication & team-oriented personality.
2. Willingness to learn new technologies.
S. No. Job Responsibilities
1 Carries out detailed mechanical design work including 2D drafting & 3D modelling.
2 Responsible for Layout preparation
3 Responsible for preparing and presenting mechanical designs at design reviews.
4 Responsible for the specification compliance of designs.
5 Carries out Bill of Materials, manufacturing drawings, and erection drawings.
Minimum Qualification- Diploma (mechanical)
Years of experience 2-3 years
Requirement:
1. Node Js min 2 yrs exp.
2. Database - MONGO, SQL, etc. min 2yrs experience with these.
3. Caching - REDIS, MEMCACHED etc
4. Message Queues - RABBIT MQ, Kafka, etc.
Location: Delhi (Work from office).
Package : Upto 12 LPA
Responsibilities:
- Conduct in-depth analysis of the product and documentation requirements.
- Create highly technical documentation that meets the needs of its intended audience.
- Collaborate with the technical team to make the products easier to use by writing a simple instructions manual.
- Review the existing content and make changes as required.
- Research and develop technical design specifications and test scripts.
Requirements:
- Bachelor's degree in Computer Science or Engineering.
- 3-5 years of experience working as a Technical Writer or a similar role.
- Ability to create high-quality technical documents.
- Exceptional working experience in technical writing of software documentation requirements.
- Ability to understand the technical concepts and make them easier to understand for our product users.
- Familiar with the product development process.
- Outstanding writing skills.
- Ability to write in different styles for a variety of audiences.
- Exceptional verbal communication skills.
- Good time management skills.
🚀 Hiring: Data Engineer ( Azure )
⭐ Experience: 5+ Years
📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,
⭐ Work Mode:- Hybrid
⏱️ Notice Period: Immediate Joiners
(Only immediate joiners & candidates serving notice period)
Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence
We are looking for a Databricks Data Engineer to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.
🔹 Key Responsibilities
- Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)
- Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing
- Develop Structured Streaming pipelines with watermarking, late data handling & restart safety
- Implement declarative pipelines using Lakeflow
- Design idempotent, replayable pipelines with safe backfills
- Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)
- Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications
- Package and deploy using Databricks Repos & Asset Bundles (CI/CD)
- Ensure governance using Unity Catalog and embedded data quality checks
✅ Mandatory Skills (Must Have)
- Databricks & Delta Lake (Advanced Optimization & Performance Tuning)
- Structured Streaming & Autoloader Implementation
- Databricks SQL (DBSQL) & Data Modeling for Analytics
Marketing Manager / Sr. Marketing Manager
Role Overview
We are looking for a highly driven, revenue-focused Marketing Manager / Senior Marketing Manager to lead demand generation and pipeline growth for a fast-scaling B2B SaaS company.
This is not a traditional brand marketing role, but a revenue ownership role. The ideal candidate will be comfortable owning pipeline targets, working closely with Sales, and directly contributing to revenue outcomes.
You will be expected to build, execute, and optimize multi-channel demand generation programs, while also leading and managing demand generation engines and a team of marketers and SDRs to drive consistent pipeline growth.
This role requires someone who is equally strategic and hands-on- from crafting messaging and writing outbound sequences to driving GTM strategy and leading high-impact campaigns.
Key Responsibilities
1. Revenue & Pipeline Ownership
- Own and deliver on quarterly pipeline revenue targets aligned with organisation goals
- Take full accountability for marketing-sourced and influenced pipeline
- Work closely with Sales leadership to ensure pipeline quality, conversion, and revenue alignment
- Continuously optimize funnel performance across lead → meeting → SQL → revenue stages
2. Demand Generation (Core Ownership)
- Build and scale a predictable demand generation engine across outbound, inbound, and lifecycle channels
- Design and execute integrated marketing campaigns aligned with ICP segments and business priorities
- Own channel mix including email, outbound, ABM, lifecycle, partnerships, and events
- Drive experimentation and iteration to improve conversion rates and cost efficiency
3. SDR Team Management & Alignment
- Directly manage and mentor SDRs / outbound team members
- Own top-of-funnel performance (meetings, responses, pipeline)
- Collaborate closely with SDRs on messaging, targeting, and campaign execution
- Ensure strong alignment between Marketing and SDR teams on goals, reporting, and accountability
4. Account-Based Marketing (ABM)
- Design and execute ABM programs for high-value target accounts
- Partner with Sales to define account lists and engagement strategies
- Build personalized, multi-touch campaigns across email, LinkedIn, and outbound channels
- Track account progression and pipeline impact
5. Lifecycle Marketing
- Own lifecycle journeys across lead nurturing, activation, and re-engagement
- Build automated workflows to move leads across funnel stages
- Optimize touchpoints to improve conversion and pipeline velocity
6. Outbound & Campaign Execution (Hands-On)
- Personally contribute to campaign execution including email writing, sequence design, and outreach strategy
- Be hands-on with cold outreach (email + calling) where required
- Continuously test messaging frameworks, hooks, and value propositions
- Drive performance improvements in open rates, reply rates, and meeting conversions
7. Product Marketing & GTM
- Own positioning, messaging, and value proposition for key products and use cases
- Lead GTM initiatives in collaboration with Product and Sales teams
- Translate product capabilities into compelling narratives for target audiences
- Enable Sales with messaging, collateral, and campaign support
8. Channel & Audience Development
- Leverage platforms like LinkedIn, Reddit, and industry communities for opportunity discovery and engagement
- Own list building, segmentation, and enrichment strategies
- Identify new acquisition channels and test scalable growth opportunities
9. Reporting & Performance Tracking
- Track and report on pipeline contribution, campaign performance, and ROI
- Maintain clear visibility into weekly progress, learnings, and next steps
- Build dashboards to monitor funnel metrics and channel performance
Key Metrics of Success
- Pipeline generated (aligned with $400K–$500K MRR targets per quarter)
- Marketing-sourced and influenced revenue
- Number of qualified meetings / SQLs generated
- Conversion rates across funnel stages
- Campaign ROI and channel efficiency
- SDR team performance and output
Required Skills & Experience
- 7–10+ years of experience in B2B SaaS / AdTech / MarTech marketing
- Proven track record of owning pipeline and revenue targets
- Strong experience in demand generation, ABM, lifecycle marketing, and outbound
- Experience managing SDRs or outbound teams directly
- Hands-on expertise in email marketing, cold outreach, and campaign execution
- Strong copywriting and messaging skills (especially for outbound and GTM campaigns)
- Solid product marketing experience including positioning and messaging
- Experience running integrated, multi-channel campaigns
- Strong analytical mindset with ability to optimize based on data
Preferred Qualifications
- Experience in growth-stage startups ($10M+ ARR)
- Previous experience in AdTech would be a plus
- Prior experience in revenue-linked marketing roles
- Exposure to global markets (US/EU/APAC)
- Experience working in high-accountability, fast-paced environments
Why This Role Matters
This role is central to building a predictable, scalable revenue engine for the company. You will directly influence pipeline, revenue growth, and GTM success, while shaping how marketing contributes to business outcomes.
Compensation
- Competitive salary aligned with B2B SaaS benchmarks
- Strong performance-linked incentives tied to pipeline and revenue outcomes
Publicis Sapient Overview:
The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
.
Job Summary:
As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.
Role & Responsibilities:
Your role is focused on Design, Development and delivery of solutions involving:
• Data Integration, Processing & Governance
• Data Storage and Computation Frameworks, Performance Optimizations
• Analytics & Visualizations
• Infrastructure & Cloud Computing
• Data Management Platforms
• Implement scalable architectural models for data processing and storage
• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode
• Build functionality for data analytics, search and aggregation
Experience Guidelines:
Mandatory Experience and Competencies:
# Competency
1.Overall 5+ years of IT experience with 3+ years in Data related technologies
2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)
3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.
4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable
5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc
6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security
Preferred Experience and Knowledge (Good to Have):
# Competency
1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience
2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc
3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures
4.Performance tuning and optimization of data pipelines
5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality
6.Cloud data specialty and other related Big data technology certifications
Personal Attributes:
• Strong written and verbal communication skills
• Articulation skills
• Good team player
• Self-starter who requires minimal oversight
• Ability to prioritize and manage multiple tasks
• Process orientation and the ability to define and set up processes
About the company:
CogniTensor is an analytical software company that brings data to the heart of decision-making. CogniTensor leverages its product, DeepOptics - an integrated platform to implement 3A (Automation, Analytics and AI) at scale.
Cognitensor has customers ranging in Finance, Energy, Commodity, Retail & Manufacturing. More details can be found on our website: https://www.cognitensor.com/">https://www.cognitensor.com/
Our strategic investors include Shell and CIIE.CO (IIM-A/Accenture).
Qualification & Experience:
- BE/B.Tech Degree in Computer Programming, Computer Science, or a related field.
- +2 years experience as a Software Developer.
- Hands on experience in developing finance applications is must
Roles & Responsibilities:
We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.
As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Along with familiar with Agile methodologies and testing skills
- Work with development teams and product managers to ideate software solutions
- Design client-side and server-side architecture
- Develop and manage well-functioning databases and applications
- Write effective APIs
- Write technical documentation
- Excellent communication and teamwork skills
Technical Skills:
Must Have
- React JS
- Git / Bitbucket,
- Express JS, Python, HTML, CSS, Node JS
- CI/CD like CircleCI
- Postgres or any DB knowledge
- Familiarity with AWS or Azure or both
Good to Have
- Docker
- Redux
- Android development
- React Native
- Electron
- GraphQL
- Jira
What’s in for you:
- An opportunity to lead a business segment
- Extensive liaising with customers and partners
- A rewarding career progression
Preferred Location:
Delhi NCR
alog Circuit Design::
- The candidate should have B.Tech or M.Tech in Electronics/Electrical/VLSI Design Engineering
- The candidate should have relevant work experience of 7-16 years in Analog and SERDES IO IP design e.g. GPIOs, Thermal Sensor, PLL, ADC/DAC/ Voltage regulators/LDOs, AIB, HBMIO, DDR, HDMI/DP IO, MIPI IO etc.






