262 Data Scientists jobs in Delhi

We are seeking a highly skilled Big Data Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that handle high-volume financial data, including stocks, cryptocurrencies, and third-party data sources. You will play a critical role in ensuring data integrity, scalability, and real-time availability across our platforms.

Key Responsibilities :-

• Design, develop, and manage end-to-end data pipelines for stocks, crypto, and other financial datasets.
• Integrate third-party APIs and data feeds into internal systems.
• Build and optimize data ingestion, storage, and transformation workflows (batch and real-time).
• Ensure data quality, consistency, and reliability across all pipelines.
• Collaborate with data scientists, analysts, and backend engineers to provide clean, structured, and scalable datasets.
• Monitor, troubleshoot, and optimize pipeline performance.
• Implement ETL/ELT best practices, data governance, and security protocols.
• Contribute to the scalability and automation of our data infrastructure.

Requirements :-

• Proven experience as a Big Data Engineer / Data Engineer (preferably in financial or crypto domains).
• Strong expertise in Python, SQL, and distributed data systems.
• Hands-on experience with data pipeline tools (e.g., Apache Spark, Kafka, Airflow, Flink, Prefect).
• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift, etc.).
• Knowledge of API integrations and handling real-time streaming data.
• Familiarity with databases (relational and NoSQL) and data modeling.
• Solid understanding of stocks, cryptocurrencies, and financial data structures (preferred).
• Strong problem-solving skills with the ability to handle large-scale data challenges.

We are seeking a highly skilled Big Data Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that handle high-volume financial data, including stocks, cryptocurrencies, and third-party data sources. You will play a critical role in ensuring data integrity, scalability, and real-time availability across our platforms.

Key Responsibilities :-

• Design, develop, and manage end-to-end data pipelines for stocks, crypto, and other financial datasets.
• Integrate third-party APIs and data feeds into internal systems.
• Build and optimize data ingestion, storage, and transformation workflows (batch and real-time).
• Ensure data quality, consistency, and reliability across all pipelines.
• Collaborate with data scientists, analysts, and backend engineers to provide clean, structured, and scalable datasets.
• Monitor, troubleshoot, and optimize pipeline performance.
• Implement ETL/ELT best practices, data governance, and security protocols.
• Contribute to the scalability and automation of our data infrastructure.

Requirements :-

• Proven experience as a Big Data Engineer / Data Engineer (preferably in financial or crypto domains).
• Strong expertise in Python, SQL, and distributed data systems.
• Hands-on experience with data pipeline tools (e.g., Apache Spark, Kafka, Airflow, Flink, Prefect).
• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift, etc.).
• Knowledge of API integrations and handling real-time streaming data.
• Familiarity with databases (relational and NoSQL) and data modeling.
• Solid understanding of stocks, cryptocurrencies, and financial data structures (preferred).
• Strong problem-solving skills with the ability to handle large-scale data challenges.

Role Overview

We are seeking a highly skilled Big Data Engineer to join our team. The ideal candidate will have strong experience in building, maintaining, and optimizing large-scale data pipelines and distributed data processing systems. This role involves working closely with cross-functional teams to ensure the reliability, scalability, and performance of data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work with large datasets using Hadoop ecosystem tools (Hive, Spark).
• Build and optimize real-time and batch data processing solutions using Kafka and Spark Streaming.
• Write efficient, high-performance SQL queries to extract, transform, and load data.
• Develop reusable data frameworks and utilities in Python.
• Collaborate with data scientists, analysts, and product teams to deliver reliable data solutions.
• Monitor, troubleshoot, and optimize big data workflows for performance and cost efficiency.

Must-Have Skills

• Strong hands-on experience with Hive and SQL for querying and data transformation.
• Proficiency in Python for data manipulation and automation.
• Expertise in Apache Spark (batch and streaming).
• Experience working with Kafka for streaming data pipelines.

Good-to-Have Skills

• Experience with workflow orchestration tools (Airflow etc.)
• Knowledge of cloud-based big data platforms (AWS EMR, GCP Dataproc, Azure HDInsight).
• Familiarity with CI/CD pipelines and version control (Git).

Role Overview

We are seeking a highly skilled Big Data Engineer to join our team. The ideal candidate will have strong experience in building, maintaining, and optimizing large-scale data pipelines and distributed data processing systems. This role involves working closely with cross-functional teams to ensure the reliability, scalability, and performance of data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work with large datasets using Hadoop ecosystem tools (Hive, Spark).
• Build and optimize real-time and batch data processing solutions using Kafka and Spark Streaming.
• Write efficient, high-performance SQL queries to extract, transform, and load data.
• Develop reusable data frameworks and utilities in Python.
• Collaborate with data scientists, analysts, and product teams to deliver reliable data solutions.
• Monitor, troubleshoot, and optimize big data workflows for performance and cost efficiency.

Must-Have Skills

• Strong hands-on experience with Hive and SQL for querying and data transformation.
• Proficiency in Python for data manipulation and automation.
• Expertise in Apache Spark (batch and streaming).
• Experience working with Kafka for streaming data pipelines.

Good-to-Have Skills

• Experience with workflow orchestration tools (Airflow etc.)
• Knowledge of cloud-based big data platforms (AWS EMR, GCP Dataproc, Azure HDInsight).
• Familiarity with CI/CD pipelines and version control (Git).

Role Overview

We are seeking a highly skilled Big Data Engineer to join our team. The ideal candidate will have strong experience in building, maintaining, and optimizing large-scale data pipelines and distributed data processing systems. This role involves working closely with cross-functional teams to ensure the reliability, scalability, and performance of data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work with large datasets using Hadoop ecosystem tools (Hive, Spark).
• Build and optimize real-time and batch data processing solutions using Kafka and Spark Streaming.
• Write efficient, high-performance SQL queries to extract, transform, and load data.
• Develop reusable data frameworks and utilities in Python.
• Collaborate with data scientists, analysts, and product teams to deliver reliable data solutions.
• Monitor, troubleshoot, and optimize big data workflows for performance and cost efficiency.

Must-Have Skills

• Strong hands-on experience with Hive and SQL for querying and data transformation.
• Proficiency in Python for data manipulation and automation.
• Expertise in Apache Spark (batch and streaming).
• Experience working with Kafka for streaming data pipelines.

Good-to-Have Skills

• Experience with workflow orchestration tools (Airflow etc.)
• Knowledge of cloud-based big data platforms (AWS EMR, GCP Dataproc, Azure HDInsight).
• Familiarity with CI/CD pipelines and version control (Git).

Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years

data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI

Primary Skills :

- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc.

- Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).

- Proficient in coding in common data science language & tools such as R, Python.

- Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.

- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.

- Exposure or knowledge in cloud (Azure/AWS).

- Experience on deployment of model in production.

Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years

data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI

Primary Skills :

- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc.

- Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).

- Proficient in coding in common data science language & tools such as R, Python.

- Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.

- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.

- Exposure or knowledge in cloud (Azure/AWS).

- Experience on deployment of model in production.

Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years

data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI

Primary Skills :

- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc.

- Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).

- Proficient in coding in common data science language & tools such as R, Python.

- Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.

- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.

- Exposure or knowledge in cloud (Azure/AWS).

- Experience on deployment of model in production.

Job Title: Big Data Engineer – Scala

Location: Bangalore, Chennai, Gurgaon, Pune, Mumbai.

Experience: 7–10 Years (Minimum 3+ years in Scala)

Notice Period: Immediate to 30 Days

Mode of Work: Hybrid

Role Overview

We are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, NiFi, and Apache Kafka to join our data engineering team. The ideal candidate will have a proven track record in building, scaling, and optimizing big data pipelines , and hands-on experience in distributed data systems and cloud-based solutions.

Key Responsibilities

- Design, develop, and optimize large-scale data pipelines and distributed data processing systems.

- Work extensively with Scala, Spark (PySpark), and Python for data processing and transformation.

- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow .

- Write efficient queries and perform data analysis using Jupyter Notebooks and SQL .

- Collaborate with cross-functional teams to design scalable cloud-based data architectures .

- Ensure delivery of high-quality code through code reviews, performance tuning, and best practices .

- Build monitoring and alerting systems leveraging Splunk or equivalent tools .

- Participate in CI/CD workflows using Git, Jenkins, and other DevOps tools.

- Contribute to product development with a focus on scalability, maintainability, and performance.

Mandatory Skills

- Scala – Minimum 3+ years of hands-on experience.

- Strong expertise in Spark (PySpark) and Python .

- Hands-on experience with Apache Kafka .

- Knowledge of NiFi / Airflow for orchestration.

- Strong experience in Distributed Data Systems (5+ years) .

- Proficiency in SQL and query optimization.

- Good understanding of Cloud Architecture .

Preferred Skills

- Exposure to messaging technologies like Apache Kafka or equivalent.

- Experience in designing intuitive, responsive UIs for data analytics visualization.

- Familiarity with Splunk or other monitoring/alerting solutions .

- Hands-on experience with CI/CD tools (Git, Jenkins).

- Strong grasp of software engineering concepts, data modeling, and optimization techniques .