Business Development Associate | Fresh Graduates

Senior Data Engineer (Databricks, BigQuery, Snowflake)

Experience: 8+ Years in Data Engineering

Location: Remote | Onsite (Noida, Gurgaon, Pune, Nagpur, Jaipur, Gandhinagar)

Budget: Open / Competitive

Job Summary:

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data solutions that support advanced analytics and machine learning initiatives. You will lead the development of reliable, high-performance data systems and collaborate closely with data scientists to enable data-driven decision-making.

In this role, we expect a forward-thinking professional who utilizes AI-augmented development tools (such as Cursor, Windsurf, or GitHub Copilot) to increase engineering velocity and maintain high code standards in a modern enterprise environment.

Key Responsibilities:

• Scalable Pipelines: Design, develop, and optimize end-to-end data pipelines using SQL, Python, and PySpark.
• ETL/ELT Workflows: Build and maintain workflows to transform raw data into structured, analytics-ready datasets.
• ML Integration: Partner with data scientists to deploy and integrate machine learning models into production environments.
• Cloud Infrastructure: Manage and scale data infrastructure within AWS and Azure ecosystems.
• Data Warehousing: Utilize Databricks and Snowflake for big data processing and enterprise warehousing.
• Automation & IaC: Implement workflow orchestration using Apache Airflow and manage infrastructure as code via Terraform.
• Performance Tuning: Optimize data storage, retrieval, and system performance across data warehouse platforms.
• Governance & Compliance: Ensure data quality and security using tools like Unity Catalog or Hive Metastore.
• AI-Augmented Development: Integrate AI tools and LLM APIs into data pipelines and use AI IDEs to streamline debugging and documentation.

Technical Requirements:

• Experience: 8+ years of core Data Engineering experience in large-scale enterprise or consulting environments.
• Languages: Expert proficiency in SQL and Python for complex data processing.
• Big Data: Hands-on experience with PySpark and large-scale distributed computing.
• Architecture: Strong understanding of ETL frameworks, data pipeline architecture, and data warehousing best practices.
• Cloud Platforms: Deep working knowledge of AWS and Azure.
• Modern Tooling: Proven experience with Databricks, Snowflake, and Apache Airflow.
• Infrastructure: Experience with Terraform or similar IaC tools for scalable deployments.
• AI Competency: Proficiency in using AI IDEs (Cursor/Windsurf) and integrating AI/ML models into production data flows.

Preferred Qualifications:

• Exposure to data governance and cataloging tools (e.g., Unity Catalog).
• Knowledge of performance tuning for massive-scale big data systems.
• Familiarity with real-time data processing frameworks.
• Experience in digital transformation and sustainability-focused data projects.

Role & Responsibilities

• Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
• Design atomic star schema data models (fact and dimension tables) across multiple business domains
• Define and implement aggregation and KPI layers aligned to business reporting requirements
• Establish data modelling standards, naming conventions, and design patterns across teams
• Ensure alignment with enterprise data strategy and roadmap
• Translate business processes into scalable and reusable data models
• Write and review SQL, Python, and Spark code for pipelines and transformations
• Build and validate data models in Snowflake or Databricks
• Deliver pipelines using AWS services (S3, Glue, Athena)
• Perform data reconciliation and validation across layers (source → curated → BI)
• Ensure data quality, consistency, and integrity across the pipeline
• Own end-to-end SDLC (requirements → design → build → test → release → operate)
• Lead and unblock data engineers and analysts on day-to-day delivery
• Identify blockers, dependencies, and risks early, and propose solutions
• Align delivery with programme roadmap and milestones
• Track execution using Jira and maintain documentation in Confluence
• Gather and validate requirements across multiple business domains
• Translate business requirements into technical designs and data models
• Communicate architecture decisions clearly to non-technical stakeholders
• Drive cross-team alignment to ensure consistent, reliable, and trusted outputs

Ideal Candidate

• Strong Data Architect Profile (AWS / Medallion Architecture / Analytics Transformation)
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture with strong exposure to large-scale analytics transformation programmes
• Mandatory (Experience 2) – Strong hands-on experience designing and implementing Medallion Architecture (Bronze / Silver / Gold layers) on AWS-based data platforms
• Mandatory (Experience 3) – Strong hands-on experience with Snowflake or Databricks, including data modelling, performance optimization, transformation pipelines, and scalable data warehouse implementations
• Mandatory (Experience 4) – Must have strong expertise in advanced SQL including complex joins, CTEs, window functions, query optimization, and performance tuning
• Mandatory (Experience 5) – Must have Hands-on development experience with Python and Apache Spark/PySpark for large-scale data transformation and processing pipelines
• Mandatory (Experience 6) – Strong experience working with AWS data services including S3, Glue, Athena, and cloud-native analytics/data lake architectures
• Mandatory (Experience 7) – Strong experience in end-to-end ETL/ELT pipeline development including ingestion, transformation, reconciliation, validation, testing, deployment, and production support
• Mandatory (Experience 8) – Experience working across transaction-heavy enterprise domains such as Finance, Supply Chain, HR, Customer, or Operations datasets
• Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days will be considered
• Preferred (Experience) – Experience working with ERP / enterprise systems such as SAP, Oracle, Salesforce, or similar enterprise platforms
• Preferred (Frameworks) – Familiarity with APQC, SCOR, or enterprise process modelling frameworks is an added advantage

Job Description:

Core responsibilities

Collaborate with product teams to more accurately define new features

Collaborate with UX in the building and implementing a design system/component library

Understanding of monorepos based project which leverage common services 

Ensure high performance of all systems developed 

Aware of the relationship between development and business with a strong sense of ownership 

Employ the latest techniques such as agile software development 

Good knowledge of highly scalable server-side development 

Basic working knowledge of Unix/Linux 

Excellent problem solving and coding skills in Javascript (Angular) 

Strong interpersonal, communication and analytical skills 

Should have the ability to express their design ideas and thoughts

Job Brief

JavaScript and Typescript expertise (Angular) 

Experience with libraries such as bootstrap, Ag-grid, observables, and ngrx/Redux 

Hands on experience of working with AI assisted ex. Windsurf 

Understanding of accessibility guidelines, multi lingula support and internationalization  

You enjoy working with new technologies, and are curious and energetic 

Experience working with REST APIs 

Good understanding about authentication and security 

Create and maintain various unit and integration tests (Sonar, Cypress)  

You enjoy working in a creative and agile environment that moves fast 

Ability and interest in providing mentorship to junior members of the team 

Write high quality code and Conduct code reviews 

Being resourceful and detail-oriented, along with being an outside the box thinker! 

Experience being a great team player, who work collaborative, and brings a positive attitude

Candidates must be from a publication/media background.

Team management experience is required.

Candidate must have worked on high-traffic websites.

Proficiency in using top industry SEO tools is a must. ( including Google Search Console, Screaming Frog, Botify, and Ahrefs. ).

Must have experience in doing regular website technical audits.

Strong knowledge of Schema.org, HTML, CSS, JavaScript, HTTP status codes, and web standards is required.

MUST HAVE SKILLS

1. Minimum 5 +years of experience in.Net, MVC, and Web API.c#.

2. Minimum 2-3 years of experience in Angular 5, Angular6+.

3. Very good communication skills.

4. Experience with RESTful APIs to connect other backend services.

5. Should have developed more than 2 applications.

6. CI/CD, GIT

7. Good with Threading

8. Experience with performance improvement of applications.

Roles and Responsibilities:

6+ Experience in  Node.js, React Js

excellent written and verbal communication skill

• Healthy team and relationship building skills
• Hands-on experience delivering web applications in the cloud to on-demand production clients
• Experience in JavaScript, OOP Patterns, ES6, HTML, CSS, LESS
• Experience with  MS Sql Server, Mongo DB
• Experience with SSO, SAML, OAuth, JWT for API and Web Session Authentication and Authorization
• Experience with Azure Devops platform will be an added advantage
• Experience with test and/or process automation, source control
• Possess solid debugging process and exhibit technical intuition