557 Data Scientists jobs in Noida

We are looking for passionate   B.Tech freshers   with strong programming skills in   Java   who are eager to start their career in   Big Data technologies . The role offers exciting opportunities to work on real-time big data projects, data pipelines, and cloud-based data solutions.

• Assist in designing, developing, and maintaining   big data solutions .
  

• Write efficient code in   Java   and integrate with big data frameworks.
  

• Support in building   data ingestion, transformation, and processing pipelines .
  

• Work with   distributed systems   and learn technologies like   Hadoop, Spark, Kafka, Hive, HBase .
  

• Collaborate with senior engineers on data-related problem-solving and performance optimization.
  

• Participate in   debugging, testing, and documentation   of big data workflows.
  

• Strong knowledge of   Core Java & OOPs concepts .
  

• Good understanding of   SQL and database concepts .
  

• Familiarity with   data structures & algorithms .
  

• Basic knowledge of   Big Data frameworks   (Hadoop/Spark/Kafka) is an added advantage.
  

• Problem-solving skills and eagerness to learn new technologies.
  

• Education:   B.Tech (CSE/IT or related fields).
  

• Batch:   (specific, e.g., 2024/2025 pass outs).
  

• Experience:   Fresher (0–1 year)
  

• Training and mentoring in   cutting-edge Big Data tools & technologies .
  

• Exposure to   live projects   from day one.
  

• A fast-paced, learning-oriented work culture.
  

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.

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.

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).