Data Engineer at Digital Marketing Company - WFH · Remote only · 5 - 10 years · ₹16L - ₹30L / yr · Remote only · Posted 14 Nov 2026
Python
C#We are a Leading Delhi Based Consultant, currently we are hiring for IT Company for Noida Location.
Designation: Data Engineer
Reporting: Technical Director / Data Director
Desired Experience: 6 – 10 Years
Qualification: BE/ B Tech/ M Tech/ MCA and any Graduate.
Job Location: Noida Sec - 6 (Nearest Metro Station 15) (WFH/Work from Home Available)
Total Employees: 100+ Members
Working Days: Monday to Friday
What you will do:
- Be responsible for the successful and optimal use of the data platform by the global organization.
- Be responsible of the data infrastructure, create, maintain and optimize complex data pipelines to meet business requirements.
- Assemble large datasets from a wide variety of data sources using Snowflake and Talend technologies with data and analytics experts.
- Put in place automated processes, analytics and tools to ensure optimal data deliverability, quality and operational efficiency.
- Be the global point of contact of a multinational, cross-functional team of users for all data infrastructure matters.
- Work with stakeholders including Product, Data and IT teams to support the development of new products and ensure the full benefits of the data platform.
- Create, under the authority of the Data Director, company-wide data-related processes and guidelines to maximize the data adoption by all stakeholders.
- Work closely with the Data Director and the other key application owners to assist with data-related technical issues and new data infrastructure needs.
- Work closely with the IT and Executive on the roadmap of data infrastructure evolutions, in close collaboration with the Product and Data teams
- Be responsible for the data platform and make sure it is optimized in terms of security, speed, availability, connectivity ...
Your Qualifications:
- Bachelor’s from a recognized University
What you will need:
- You have a solid BIG DATA experience of at least 5 years.
- You speak English fluently and you write professionally in this language.
- You have advanced SQL knowledge and strong experience working with relational databases.
- You have a successful history of designing and optimizing complex big data architectures, pipelines, and datasets with another company.
- You have experience performing root cause analysis on internal and external data processes.
- You have experience performing data analytics and data mining to answer business needs.
- You have experience in dynamic data masking, row level security and other security and data sharing best practices.
- You are familiar with message queuing, stream processing and unstructured datasets.
- You are familiar with continuous deployment concepts.
- You have strong project and organizational skills and experience working with cross functional teams in a dynamic environment.
- You understand the key factors of success of a data platform as well as the typical failure causes.
- You are very familiar with several big data technologies, for having implemented or participated in their implementation.
- You are familiar with digital marketing concepts like leads management, reporting, segmentation, targeting, lists management...
- You are familiar with the creation of reports and dashboards.
- You are familiar with European Union’s General Data Protection Regulation (GDPR)
Key Skills:
- You have an experience with Snowflake, Talend Cloud
- You have coding experience with different technologies: Python, C#
- You have experience designing and interconnecting with external APIs.
- You are familiar with tools like Marketing Automation (HubSpot, Marketo, Selligent...), CRMs (Salesforce, Microsoft Dynamics, HubSpot...), PIMs (Akeneo, Pimcore...), BI (PowerBI, Qlik, Tableau...)
- You are familiar with Agile Methodologies and Continuous Delivery
Personal Skills:
- You are talented to connect and truly collaborate with colleagues, including distant collaboration.
- You are an achiever who is data driven.
- You are a quick learner, adaptative and flexible but also structured and well-organized.
- You are autonomous but appreciate teamwork.
Please Share the Following Details:
- Current CTC
- Expected CTC
- Notice Period
- Current Location
- Reason for Change
- Total Years of Experience
Kindly share references for the same opening, if available.
WhatsApp your CV at 7 5 0 3 8 6 6 1 9 6
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs (9)
PythonAbout Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
Experience Level
2+ years of experience in SQL, Python, and Snowflake (or equivalent cloud data warehouse), Azure Cloud services.
Role Overview
If you're a Data Craftsperson who takes pride in clean, well-tested data solutions and believes in the principles of Extreme Programming, we'd love to meet you. At Incubyte, we're a DevOps organization where developers own the entire release cycle — you'll get hands-on experience across data engineering, analytics, cloud infrastructure, and direct client communication. This role sits primarily in data engineering (80%) with a meaningful analytics component (20%), supporting our client's data systems end-to-end.
What You'll Do
- Design, build, and maintain data pipelines and infrastructure using SQL and Python
- Work within Snowflake to build and optimize data models supporting business use cases
- Parse and process structured and semi-structured data (JSON, XML) from varied sources
- Diagnose issues across raw, intermediate, and summary tables
- Build SQL queries to support repeatable analytics use cases based on stakeholder requirements
- Investigate and resolve data quality issues, including time-sensitive or urgent ones
- Identify opportunities to consolidate models and maintain a single source of truth (SSOT)
Requirements
What We're Looking For
- 2+ years of experience with SQL and relational databases, with the ability to understand complex data relationships and transformations (required)
- 2+ years of experience with Python for data engineering tasks (required)
- Experience with Snowflake or an equivalent cloud data warehouse (required)
- Experience working with Snowflake Coco or any other AI tools(required)
- Experience parsing JSON and XML data (a plus)
- A strong eye for data quality and attention to detail
- Knowledge of Git (required)
- Knowledge of Azure cloud services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database (required)
- Knowledge of data infrastructure/modeling tools like DBT, Fivetran (a plus)
- Experience with BI tools like Power BI(a plus, not core to this role)
- Knowledge of Docker, Linux, Shell/Bash, and virtualization technologies (a plus)
- Knowledge of SSIS packages (a plus)
- Familiarity with CI/CD methodologies
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Perks
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance
Python1st virtual , 2nd round F2F
Python pyspark, SQL, data engineer
5+yrs
Bang/hyderabad
immediate to 15days.
Python
Amazon Web Services (AWS)Sr. Data Engineer
Location: Pune
Responsibilities
· Lead the end-to-end design and development of scalable, high-performance data pipelines and ETL/ELT frameworks aligned with modern data engineering best practices.
· Architect complex data integration workflows that bring together structured, semi-structured, and unstructured data from both cloud and on-premise sources.
· Build robust real-time, batch, and on-demand pipelines with built-in observability—monitoring, alerting, and automated error handling.
· Partner with analysts, data scientists, and business leaders to define and deliver reliable data models, quality frameworks, and SLAs that power key business insights.
· Ensure optimal pipeline performance and throughput, with clearly defined SLAs and proactive alerting for data delivery or quality issues.
· Collaborate with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows that align with enterprise architecture standards.
· Establish and enforce the best practices in source control, code reviews, testing automation, and continuous delivery for all data engineering components.
· Lead root cause analysis (RCA) and preventive maintenance for critical data failures, ensuring minimal business impact and continuous service improvement.
· Guide the team in establishing standards for data modeling, transformation logic, and governance, ensuring long-term maintainability and scalability.
· Design and execute comprehensive testing strategies—unit, integration, and system testing—ensuring high data reliability and pipeline resilience.
· Monitor and fine-tune data pipeline and query performance, optimizing for reliability, scalability, and cost-efficiency.
· Create and maintain detailed technical documentation, including data architecture diagrams, process flows, and integration specifications for internal and external stakeholders.
· Facilitate and lead discussions with business and operational teams to understand data requirements, prioritize initiatives, and drive data strategy forward.
Qualifications
· 7 to 10 years of hands-on experience in data engineering roles with a proven record of building scalable and secure data platforms.
· Over 5 years of experience in scripting languages such as Python for data processing, automation, and ETL development.
· 4+ years of experience with Snowflake, including performance tuning, security model design, and advanced SQL development.
· 5+ years of experience with data integration tools such as Azure Data Factory, Fivetran, or Matillion.
· 5+ years of experience in writing complex, highly optimized SQL queries on large datasets.
· Proven experience integrating and managing APIs, JSON, XML, and webhooks for data acquisition.
· Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools like Apache Airflow or equivalent.
· Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git).
· Familiarity with dbt or similar transformation tools and best practices for modular transformation development.
· Exposure to data visualization tools like Power BI for supporting downstream analytics is a plus.
· Strong interpersonal and communication skills with the ability to lead discussions with technical and business stakeholders.
Education
Bachelor’s or Master’s degree in Computer Science/Information technology or related field.
Equivalent academic and work experience can be considered.
Immediate Joining
We are looking for a Dedicated Resource on Contract for –
Role: Data Engineer
Experience: 5+ Years
Location: Remote
Duration: 3+ Months
Strong hands-on experience with Snowflake, including writing SQL queries, creating views, stored procedures, and functions.
Good knowledge of AI tools such as Claude.
Experience with ETL tools like Alteryx is good to have.
Power BI experience is good to have.
Strong communication skills.
Python1st virtual , 2nd round F2F -
Python pyspark, SQL, data engineer
5+yrs
Bang/hyderabad
immediate to 15days.
ExclusivePythonAmazon Web Services (AWS)About the Role
You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.
Key Responsibilities
- Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
- Design and optimize data models for AI and machine learning workloads.
- Develop reliable data foundations for MLOps, governance, and data lineage.
- Integrate data from multiple sources into modern data platforms.
- Leverage Snowpark ML and Snowflake's native AI capabilities.
- Ensure data platforms are secure, scalable, and high-performing.
What We're Looking For
- 5+ years of hands-on experience with Snowflake.
- Strong proficiency in SQL and Python.
- Experience with AWS, Azure, or GCP.
- Knowledge of cloud storage services such as S3, ADLS, or GCS.
- Strong understanding of Dimensional Modeling and Data Vault.
- Experience with Scala or Java is a plus.
Tech Stack
- Data Warehouse: Snowflake
- Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
- Cloud: AWS, Azure, GCP
- Storage: S3, ADLS, GCS
- AI/ML: Snowpark ML, MLOps
Perks & Benefits
- Public Speaking & Communication Program
- Mentoring Program with Senior Support Leads
- 360° Progress Reviews
- Weekly Learning Sessions & Guilds
- Paid Certifications
- Hackathons & Innovation Days
- Recognition & Rewards Programs
- Team Socials & Annual Offsites
- Employee Assistance Program (24/7 Wellbeing Support)
The Data People Shaping Tomorrow
Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.
Python1st virtual , 2nd round F2F
Python pyspark, SQL, data engineer
5+yrs
9+yrs
Bangalore/Hyderabad
immediate to 15days.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Responsibilities and JD
Job Description: We are looking for a Senior Developer with strong expertise in PySpark, Databricks, and Snowflake to build scalable data engineering solutions and enterprise data platforms.
Key Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines using PySpark, Databricks, and Snowflake.
- Develop batch and real-time data processing solutions for structured and semi-structured data.
- Build and optimize Databricks notebooks, workflows, and Delta Lake solutions.
- Design and implement Snowflake databases, schemas, views, stored procedures, tasks, and streams.
- Develop scalable data models, data marts, and data warehouse solutions.
- Optimize PySpark jobs, Databricks workloads, and Snowflake queries for performance and cost efficiency.
- Implement data quality, validation, governance, and security controls.
- Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.
- Manage source control and CI/CD deployments using Git and Azure DevOps.
- Troubleshoot production issues, perform root cause analysis, and ensure pipeline reliability.
- Mentor junior team members and participate in code reviews and technical design discussions.
Required Skills: PySpark, Databricks, Snowflake, Python, SQL.
Experience: 5+ years of Data Engineering experience with strong hands-on expertise in PySpark, Databricks, and Snowflake.
Pythonrole: data engineer
Python pyspark, SQL, data engineer
5+yrs
Bangalore/Hyderabad
immediate to 15days.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon