40 Data Engineering jobs in Delhi

Minimum Requirements:

• At least 3 years of professional experience in Data Engineering
• Demonstrated end-to-end ownership of ETL pipelines
• Deep, hands-on experience with AWS services: EC2, Athena, Lambda, and Step Functions (non-negotiable)
• Strong proficiency in MySQL (non-negotiable)
• Working knowledge of Docker: setup, deployment, and troubleshooting

Highly Preferred Skills:

• Experience with orchestration tools such as Airflow or similar
• Hands-on with PySpark
• Familiarity with the Python data ecosystem: SQLAlchemy, DuckDB, PyArrow, Pandas, NumPy
• Exposure to DLT (Data Load Tool)

Ideal Candidate Profile:

The role demands a builder’s mindset over a maintainer’s. Independent contributors with clear, efficient communication thrive here. Those who excel tend to embrace fast-paced startup environments, take true ownership, and are motivated by impact—not just lines of code. Candidates are expected to include the phrase Red Panda in their application to confirm they’ve read this section in full.

Key Responsibilities:

• Architect, build, and optimize scalable data pipelines and workflows
• Manage AWS resources end-to-end: from configuration to optimization and debugging
• Work closely with product and engineering to enable high-velocity business impact
• Automate and scale data processes—manual workflows are not part of the culture
• Build foundational data systems that drive critical business decisions

Compensation range: ₹8.4–12 LPA (fixed base), excluding equity, performance bonus, and revenue share components.

Data Engineer (DE) Consultant is responsible for designing, developing, and maintaining data assets and data related products by liaising with multiple stakeholders.

Responsibilities:

• Work with stakeholders to understand the data requirements to design, develop, and maintain complex ETL processes.
• Create the data integration and data diagram documentation.
• Lead the data validation, UAT and regression test for new data asset creation.
• Create and maintain data models, including schema design and optimization.
• Create and manage data pipelines that automate the flow of data, ensuring data quality and consistency.

Qualifications and Skills:

• Strong knowledge on Python and Pyspark
• Expectation is to have ability to write Pyspark scripts for developing data workflows.
• Strong knowledge on SQL, Hadoop, Hive, Azure, Databricks and Greenplum
• Expectation is to write SQL to query metadata and tables from different data management system such as, Oracle, Hive, Databricks and Greenplum.
• Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks.
• Expectation is to use Hue and run Hive SQL queries, schedule Apache Oozie jobs to automate the data workflows.
• Good working experience of communicating with the stakeholders and collaborate effectively with the business team for data testing.
• Expectation is to have strong problem-solving and troubleshooting skills.
• Expectation is to establish comprehensive data quality test cases, procedures and implement automated data validation processes.
• Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.
• 4-7 years of experience in Data Engineer.
• Proficiency in programming languages commonly used in data engineering, such as Python, Pyspark, SQL.
• Experience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks.
• Strong communication, problem solving and analytical skills with the ability to do time management and multi-tasking with attention to detail and accuracy.

Job Description:

We are seeking a highly skilled Full Stack Big Data Engineer to join our team. The ideal candidate will have strong expertise in big data technologies, cloud platforms, microservices, and system design, with the ability to build scalable and efficient data-driven applications. This role requires hands-on experience across data engineering, backend development, and cloud deployment, along with a strong foundation in modern DevOps and monitoring practices.

Key Responsibilities:

• Design, build, and optimize big data pipelines using Scala, PySpark, Spark SQL, Spark Streaming, and Databricks.
• Develop and maintain real-time data processing solutions using Kafka Streams or similar event-driven platforms.
• Implement cloud-based solutions on Azure, leveraging services such as Azure Data Factory (ADF) and Azure Functions.
• Build scalable microservices with Core Java (8+) and Spring Boot.
• Collaborate on system design , including API development and event-driven architecture.
• Contribute to front-end development (JavaScript, React) as needed.
• Ensure application reliability through monitoring tools such as Grafana, New Relic, or similar.
• Utilize modern CI/CD tools (Git, Jenkins, Kubernetes, ArgoCD, etc.) for deployment and version control.
• Work cross-functionally with data engineers, software developers, and architects to deliver high-quality solutions.

Qualifications:

• 5+ years of professional experience as a Software/Data Engineer or Full Stack Engineer.
• Strong programming skills in Scala, Python, and Java .
• Experience with Databricks, Spark SQL, Spark Streaming , and PySpark .
• Hands-on experience with Azure cloud services and data engineering tools.
• Solid knowledge of microservices development with Spring Boot.
• Familiarity with event-driven platforms such as Kafka.
• Experience with CI/CD pipelines and containerization/orchestration tools.
• Strong problem-solving and communication skills.
• Bachelor’s or master’s degree in computer science, Engineering, or a related field (preferred).

Nice to Have:

• Experience with API design and event-driven architecture .
• Frontend development experience with React and JavaScript .

Deloitte India is hiring for Java + Big Data (Big data is mandatory) candidates for Chennai location. Interested candidates can apply.

Looking for 6 to 9 Years of experience candidates.

Job description

Role -

Key Responsibilities:

• Big Data Technologies - Hadoop, Apache Spark, Apache Kafka, Flink (Good to have)
• Develop and maintain scalable backend services using Java 8/17+ and Spring Boot.
• Design and implement RESTful APIs and manage full request/response lifecycle.
• Apply Java 8+ features (Streams, Lambdas, Optional, etc.) for efficient coding practices.
• Work with SQL (Oracle) and NoSQL databases (e.g., MongoDB, Cassandra) for data storage and retrieval.
• Optimize database queries using Oracle SQL Hints and other performance techniques.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Participate in code reviews, technical discussions, and Agile ceremonies.
• Explore and integrate event-based frameworks (e.g., Kafka, RabbitMQ) for asynchronous processing.
• Contribute to the design and implementation of Big Data pipelines where applicable.

How you’ll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterized by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognize there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

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Interview tips

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Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

The Data Platform & Service team builds and operates systems to centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineering manager on the team you will contribute to the full spectrum of our systems, from managing foundational processing and data storage, to building and maintaining scalable pipelines, to developing frameworks, tools, and internal applications to make that data easily and efficiently available to other teams and systems.

What you’ll be doing (ie. job duties)

• Develop and execute the multi-year strategy for Data Platform in collaboration with cross-functional partners, including Data Engineering, Data Science and Infrastructure orgs.
• Mentor and guide your team members to make meaningful contributions to the organization while fostering their professional growth and career development.
• Provide technical leadership by supporting your team in making sound architectural decisions and ensuring engineering quality through adherence to SLAs
• Partner with engineers, designers, product managers, and senior leadership to translate the vision into actionable quarterly roadmaps.
• Collaborate with the talent team to recruit and hire exceptional engineers who will enhance Coinbase's culture and product offerings.
• Foster a positive and inclusive team environment aligned with Coinbase's culture, ensuring all team members feel valued and supported.

What we look for in you (ie. job requirements):

• At least 10 plus years of experience in software engineering.
• At least 2 plus years of engineering management experience.
• At least 2 plus year of experience in Data Streaming, Data Warehousing and Data Governance areas
• You possess a strong understanding of what constitutes high-quality code and effective software engineering processes, creating an environment that fosters these principles.
• An execution-focused mindset, capable of navigating through ambiguity and delivering results.
• An ability to balance long-term strategic thinking with short-term planning.
• Experience in creating, delivering, and operating multi-tenanted, distributed systems at scale.
• You can be hands-on when needed – whether that’s writing/reviewing code or technical documents, participating in on-call rotations and leading incidents, or triaging/troubleshooting bugs.

Nice to haves:

• Hands-on experience with Kafka/Pulsar and Spark/Flink
• Experience with core AWS services and concepts (S3, IAM, autoscaling groups, RDS), and DevOps experience
• Experience with platforms like Snowflake/Databricks
• Crypto-forward experience, including familiarity with onchain activity

Job #: GPEM06IN

Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

Commitment to Equal Opportunity

Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations(at)coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

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Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.

AI Disclosure

For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.

For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment . To request a reasonable accommodation due to disability, please contact accommodations(at)coinbase.com