674 Data Engineer jobs in Delhi

Job Description: Data Engineer (Mid–Senior Level)

Location: Delhi NCR (On-Site)

Team: Tech & Product

Type: Full-time

Compensation: ₹20 – 35 LPA (Market Standard, Based on Experience & Skills)

Experience - 5- 8 Years

Application Link

About Bullet

Bullet is India’s first microdrama OTT app backed by Z. We create bingeable 90-second vertical dramas for the mobile-first audience. Think of it as cinema in your pocket, powered by coins and cliffhangers .

We’re scaling fast, and data is the heartbeat of everything — from personalizing what people watch next to optimizing monetization. That’s where you come in.

What You’ll Do

• Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and real-time systems for user insights, engagement tracking, and revenue optimization.
• Own the data lake/warehouse architecture and keep it future-proof as we move from millions to 100M+ users.
• Collaborate with product, growth, and content teams to translate business questions into data-driven solutions .
• Implement data governance, monitoring, and validation layers to ensure reliability.
• Work on recommendation, personalization, and ad-tech data models in partnership with product/AI teams.
• Thrive in a fast-paced startup environment where experiments run daily, and shipping fast beats polishing forever .

What We’re Looking For

• 5–10 years of Data Engineering experience (consumer-tech / OTT / adtech exposure = big plus).
• Strong hands-on with SQL + Python + distributed systems (Spark, Kafka, Flink, etc.).
• Proven experience designing and managing data infrastructure on AWS and GCP (multi-cloud comfort = ideal).
• Knowledge of data warehousing & lakehouse solutions (BigQuery, Redshift, Snowflake, Databricks, etc.).
• Experience with real-time streaming + batch pipelines .
• Familiarity with analytics platforms/dashboards (Looker, Power BI, or similar).
• Startup DNA: you can juggle priorities, solve problems without perfect processes, and still deliver clean, working pipelines .
• Bonus: Interest in recommendation engines, ad monetization, or token economies .

Our Tech Stack

Azure Data Engineer

Location: Noida

5 Days WFO

Who we are:

LUMIQ is the leading Data and Analytics company in the Financial Services and Insurance (FSI) industry. We are trusted by the world's largest FSIs, including insurers, banks, AMCs, and NBFCs, to address their data challenges. Our clients include 40+ enterprises with over $10B in deposits/AUM, collectively representing about 1B customers globally.

Our expertise lies in creating next-gen data technology products to help FSI enterprises organize, manage, and effectively use data. We have consistently challenged the status quo, introducing many industry firsts, such as the first enterprise data platform in Asia on the cloud for a regulated entity.

Founded in 2013, LUMIQ has now completed a decade of innovation, backed by Info Edge Ventures (a JV between Temasek Holdings of Singapore and Naukri) and US-based Season 2 Ventures.

Our Culture:

At LUMIQ, we strive to create a community of passionate data professionals who aim to transcend the usual corporate dynamics. We offer you the freedom to ideate, commit, and navigate your career trajectory at your own pace.

Culture of ownership – empowerment to drive outcomes.

Our culture encourages 'Tech Poetry' – combining creativity and technology to create solutions that revolutionize industry. We trust our people to manage their responsibilities with minimal policy constraints. Our team is composed of the industry's brightest minds, from PhDs and engineers to industry specialists from Banking, Insurance, NBFCs, and AMCs, who will challenge and inspire you to reach new heights.

Job Description:

We are seeking a highly skilled Azure Data Engineer to join our dynamic team. As a Data Engineer at LUMIQ, you will play a crucial role in designing, developing, and maintaining our cloud-based data infrastructure to support our BFSI customers. You will work at the intersection of cloud technologies, data engineering, and the BFSI domain to deliver robust and scalable data solutions.

Key Responsibilities:

• Design, develop, and implement data pipelines, ETL processes, and data integration solutions.

• Collaborate with cross-functional teams to understand data requirements and design scalable data models and architectures that align with BFSI industry needs.

• Optimize data storage, processing, and retrieval for maximum performance and cost-efficiency in Azure cloud environments.

• Implement data security and compliance measures to ensure the protection and integrity of sensitive BFSI data.

• Work closely with data scientists and analysts to enable seamless access to high-quality data for analytical purposes.

• Troubleshoot and resolve data-related issues, ensuring data availability and reliability for BFSI customers.

• Stay updated on industry best practices, emerging cloud technologies, and trends in the BFSI sector to drive continuous improvement and innovation.

Qualifications:

Minimum 3 years’ experience as a Data Engineer with strong skills in Azure Cloud, Python, SQL, Spark, Batch Ingestion, and Processing.

Must Have Skills:

· Strong SQL querying skills

· Strong experience in Python and Spark.

· Strong experience in Batch Ingestion and Processing.

· Strong experience working on the Azure Cloud platform.

· Experience with any Database (Postgres, MySQL, Oracle, etc.)

Good to Have Skills:

· Databricks

· Synapse

· Microsoft Fabric

· Azure Certifications

· Streaming and Kafka (For any future streaming use cases)

What Do You Get:

· Opportunity to contribute to an entrepreneurial culture and exposure to the startup hustler culture.

· Competitive Salary Packages.

· Group Medical Policies.

· Equal Employment Opportunity.

· Maternity Leave.

· Opportunities for upskilling and exposure to the latest technologies.

· 100% Sponsorship for certification.

Job Responsibilities

• Design, build & maintain scalable data pipelines for ingestion, processing & storage.
• Collaborate

About the Job

Job title: Data Engineer(Immediate Joiner with Healthcare OR Pharma Client experience)

Location: Noida, India Onsite

Duration: Fulltime

Note : Need an immediate Joiner with strong experience in Healthcare/Pharma

Job description:

• Work closely with data scientists, analysts, and business stakeholders to understand data needs
• Ensure data quality, governance, and compliance with regulatory standards (e.g., GxP)
• Proficiency with SQL, Python, Spark, or related tools
• Experience with cloud platforms (AWS, Azure, or GCP)
• Pharma industry experience strongly preferred
• Excellent communication and problem-solving skills

About Position:

We are looking for an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and optimizing data pipelines, data architecture, and data sets. You will work closely with data scientists, analysts, and software engineers to support data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.

• Role: Data Engineer
• Location: Noida
• Experience: 5+ years
• Job Type: Full Time Employment

What You'll Do:

• Design and develop ETL/ELT pipelines using Azure Data Factory, Databricks, and other Azure services.
• Build and maintain data lakes, data warehouses, and real-time data streaming solutions.
• Write efficient and reusable Python scripts for data transformation, automation, and orchestration.
• Optimize and manage SQL queries and database performance across Azure SQL, Synapse, and other platforms.
• Collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights.
• Implement CI/CD pipelines for data workflows and ensure robust data governance and security.
• Monitor and troubleshoot data pipelines and ensure high availability and reliability.

Expertise You'll Bring:

• 5+ years of experience in Microsoft Azure Cloud, Azure Data Factory, Data Bricks, Spark, Scala/Python, ADO.
• 5+ years of experience working with Relational database (SQL, Oracle)
• 5+ years of experience working with Provider and Payer data
• 5+ years of combined experience in data engineering, ingestion, normalization, transformation, aggregation, structuring, and storage
• 5+ years of combined experience working with industry standard relational, dimensional or non-relational data storage systems
• 5+ years of experience in designing ETL/ELT solutions using tools like Informatica, DataStage, SSIS , PL/SQL, T-SQL, etc.
• 5+ years of experience in managing data assets using SQL, Python, Scala, VB.NET or other similar querying/coding language
• 3+ years of experience working with healthcare data or data to support healthcare organizations
• Working knowledge of various tools such as ALM, Rally etc.
• Experience in US healthcare

Inclusive Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
• Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally
• Impact the world in powerful, positive ways, using the latest technologies
• Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
• Unlock global opportunities to work and learn with the industry’s best

Let’s unleash your full potential at Persistent

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Job Description: Data Engineer (Mid–Senior Level)

Location: Delhi NCR (On-Site)

Team: Tech & Product

Type: Full-time

Compensation: ₹20 – 35 LPA (Market Standard, Based on Experience & Skills)

Experience - 5- 8 Years

Application Link

About Bullet

Bullet is India’s first microdrama OTT app backed by Z. We create bingeable 90-second vertical dramas for the mobile-first audience. Think of it as cinema in your pocket, powered by coins and cliffhangers.

We’re scaling fast, and data is the heartbeat of everything — from personalizing what people watch next to optimizing monetization. That’s where you come in.

What You’ll Do

• Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and real-time systems for user insights, engagement tracking, and revenue optimization.
• Own the data lake/warehouse architecture and keep it future-proof as we move from millions to 100M+ users.
• Collaborate with product, growth, and content teams to translate business questions into data-driven solutions.
• Implement data governance, monitoring, and validation layers to ensure reliability.
• Work on recommendation, personalization, and ad-tech data models in partnership with product/AI teams.
• Thrive in a fast-paced startup environment where experiments run daily, and shipping fast beats polishing forever.

What We’re Looking For

• 5–10 years of Data Engineering experience (consumer-tech / OTT / adtech exposure = big plus).
• Strong hands-on with SQL + Python + distributed systems (Spark, Kafka, Flink, etc.).
• Proven experience designing and managing data infrastructure on AWS and GCP (multi-cloud comfort = ideal).
• Knowledge of data warehousing & lakehouse solutions (BigQuery, Redshift, Snowflake, Databricks, etc.).
• Experience with real-time streaming + batch pipelines.
• Familiarity with analytics platforms/dashboards (Looker, Power BI, or similar).
• Startup DNA: you can juggle priorities, solve problems without perfect processes, and still deliver clean, working pipelines.
• Bonus: Interest in recommendation engines, ad monetization, or token economies.

Our Tech Stack

• Cloud Platforms: AWS, GCP
• Data Warehousing & Lakehouse: BigQuery, Redshift, Snowflake, Databricks
• Data Processing & Pipelines: Apache Spark, Kafka, Flink, Airflow
• Languages & Tools: Python, SQL, dbt
• Dashboards & BI: Looker, Power BI, Tableau
• Infra & DevOps: Docker, Kubernetes

What You’ll Get

• Competitive ₹20 – 35 LPA salary aligned with Delhi NCR market standards.
• Freedom to design and shape the data backbone of one of India’s most ambitious OTT startups.
• A chance to work directly with founders and leadership — no corporate red tape.
• A culture of speed, creativity, and ownership — not endless meetings.

Why Bullet?

• Because at Bullet, your data pipelines don’t just sit in dashboards — they decide what millions of people binge-watch next. You’ll literally be architecting the future of storytelling.

Application Link

About the Job

Job title: Data Engineer(Immediate Joiner with Healthcare OR Pharma Client experience)

Location: Noida, India Onsite

Duration: Fulltime

Note : Need an immediate Joiner with strong experience in Healthcare/Pharma

Job description:

• Work closely with data scientists, analysts, and business stakeholders to understand data needs
• Ensure data quality, governance, and compliance with regulatory standards (e.g., GxP)
• Proficiency with SQL, Python, Spark, or related tools
• Experience with cloud platforms (AWS, Azure, or GCP)
• Pharma industry experience strongly preferred
• Excellent communication and problem-solving skills

Azure Data Engineer

Location: Noida

5 Days WFO

Who we are:

LUMIQ is the leading Data and Analytics company in the Financial Services and Insurance (FSI) industry. We are trusted by the world's largest FSIs, including insurers, banks, AMCs, and NBFCs, to address their data challenges. Our clients include 40+ enterprises with over $10B in deposits/AUM, collectively representing about 1B customers globally.

Our expertise lies in creating next-gen data technology products to help FSI enterprises organize, manage, and effectively use data. We have consistently challenged the status quo, introducing many industry firsts, such as the first enterprise data platform in Asia on the cloud for a regulated entity.

Founded in 2013, LUMIQ has now completed a decade of innovation, backed by Info Edge Ventures (a JV between Temasek Holdings of Singapore and Naukri) and US-based Season 2 Ventures.

Our Culture:

At LUMIQ, we strive to create a community of passionate data professionals who aim to transcend the usual corporate dynamics. We offer you the freedom to ideate, commit, and navigate your career trajectory at your own pace.

Culture of ownership – empowerment to drive outcomes.

Our culture encourages 'Tech Poetry' – combining creativity and technology to create solutions that revolutionize industry. We trust our people to manage their responsibilities with minimal policy constraints. Our team is composed of the industry's brightest minds, from PhDs and engineers to industry specialists from Banking, Insurance, NBFCs, and AMCs, who will challenge and inspire you to reach new heights.

Job Description:

We are seeking a highly skilled Azure Data Engineer to join our dynamic team. As a Data Engineer at LUMIQ, you will play a crucial role in designing, developing, and maintaining our cloud-based data infrastructure to support our BFSI customers. You will work at the intersection of cloud technologies, data engineering, and the BFSI domain to deliver robust and scalable data solutions.

Key Responsibilities:

• Design, develop, and implement data pipelines, ETL processes, and data integration solutions.

• Collaborate with cross-functional teams to understand data requirements and design scalable data models and architectures that align with BFSI industry needs.

• Optimize data storage, processing, and retrieval for maximum performance and cost-efficiency in Azure cloud environments.

• Implement data security and compliance measures to ensure the protection and integrity of sensitive BFSI data.

• Work closely with data scientists and analysts to enable seamless access to high-quality data for analytical purposes.

• Troubleshoot and resolve data-related issues, ensuring data availability and reliability for BFSI customers.

• Stay updated on industry best practices, emerging cloud technologies, and trends in the BFSI sector to drive continuous improvement and innovation.

Qualifications:

Minimum 3 years’ experience as a Data Engineer with strong skills in Azure Cloud, Python, SQL, Spark, Batch Ingestion, and Processing.

Must Have Skills:

· Strong SQL querying skills

· Strong experience in Python and Spark.

· Strong experience in Batch Ingestion and Processing.

· Strong experience working on the Azure Cloud platform.

· Experience with any Database (Postgres, MySQL, Oracle, etc.)

Good to Have Skills:

· Databricks

· Synapse

· Microsoft Fabric

· Azure Certifications

· Streaming and Kafka (For any future streaming use cases)

What Do You Get:

· Opportunity to contribute to an entrepreneurial culture and exposure to the startup hustler culture.

· Competitive Salary Packages.

· Group Medical Policies.

· Equal Employment Opportunity.

· Maternity Leave.

· Opportunities for upskilling and exposure to the latest technologies.

· 100% Sponsorship for certification.

Job Responsibilities

• Design, build & maintain scalable data pipelines for ingestion, processing & storage.
• Collaborate with data scientists, analysts, and product teams to deliver high-quality data solutions.
• Optimize data systems for performance, reliability, scalability, and cost-efficiency.
• Implement data quality checks ensuring accuracy, completeness, and consistency.
• Work with structured & unstructured data from diverse sources.
• Develop & maintain data models, metadata, and documentation.
• Automate & monitor workflows using tools like Apache Airflow (or similar).
• Ensure data governance & security best practices are followed.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
• 3–5 years of experience in data engineering, ETL development, or backend data systems.
• Proficiency in SQL & Python/Scala.
• Experience with big data tools (Spark, Hadoop, Kafka, etc.).
• Hands-on with cloud data platforms (AWS Redshift, GCP BigQuery, Azure Data Lake).
• Familiar with orchestration tools (Airflow, Luigi, etc.).
• Experience with data warehousing & data modeling.
• Strong analytical & problem-solving skills; ability to work independently & in teams.

Preferred Qualifications

• Experience with containerization (Docker, Kubernetes).
• Knowledge of CI/CD processes & Git version control.
• Understanding of data privacy regulations (GDPR, CCPA, etc.).
• Exposure to machine learning pipelines / MLOps is a plus.