852 Senior Data Engineer 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.
  

Basic Qualifications:

Bachelors degree or higher in Computer Science, or equivalent degree and 3-10 years related working experience.

In-depth experience with a big data cloud platform, preferably Azure.

Strong grasp of programming languages (Python, PySpark, or equivalent) and a willingness to learn new ones.

Experience writing database-heavy services or APIs.

Experience building and optimizing data pipelines, architectures, and data sets.

Working knowledge of queueing, stream processing, and highly scalable data stores

Experience working with and supporting cross-functional teams.

Strong understanding of structuring code for testability.

Preferred Qualifications:

Professional experience implementing and maintaining MLOps pipelines in MLflow or AzureML.

Professional experience implementing data ingestion pipelines using Data Factory.

Professional experience with Databricks and coding with notebooks.

Professional experience processing and manipulating data using SQL and Python code.

Professional experience with user training, customer support, and coordination with cross-functional teams.

We are seeking a skilled Big Data Engineer to join our team in India. The ideal candidate will have a strong background in designing and implementing data architectures and pipelines, and will be responsible for ensuring the efficient processing and storage of large datasets.

• Design and implement scalable data pipelines to support data ingestion, processing, and storage.
• Collaborate with data scientists and analysts to understand data requirements and provide necessary data solutions.
• Optimize and maintain existing data architectures to ensure high performance and reliability.
• Develop and maintain documentation for data engineering processes and data flow diagrams.
• Monitor and troubleshoot data pipeline issues to ensure data integrity and availability.

• 5-10 years of experience in Big Data technologies such as Hadoop, Spark, and Kafka.
• Proficient in programming languages such as Java, Python, or Scala.
• Experience with data modeling and database design, including both SQL and NoSQL databases.
• Strong understanding of ETL processes and tools.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data warehousing solutions and architectures.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.

We are seeking a skilled Big Data Engineer to join our dynamic team in India. The ideal candidate will be responsible for designing, building, and maintaining large-scale data processing systems, ensuring data quality and integrity, and collaborating with various stakeholders to meet data requirements.

• Design and implement scalable data pipelines for processing large volumes of data.
• Collaborate with data scientists and analysts to understand data requirements and develop solutions.
• Optimize and maintain existing data processing systems for performance and efficiency.
• Ensure data quality and integrity throughout the data lifecycle.
• Monitor and troubleshoot data processing jobs and systems to ensure smooth operation.

• Strong proficiency in big data technologies such as Hadoop, Spark, and Kafka.
• Experience with data warehousing solutions and ETL processes.
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of SQL and NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
• Understanding of data modeling, data architecture, and data governance practices.

Basic Qualifications:

 Bachelors degree or higher in Computer Science, or equivalent degree and 3-10 years related working experience.

 In-depth experience with a big data cloud platform, preferably Azure.

 Strong grasp of programming languages (Python, PySpark, or equivalent) and a willingness to learn new ones.

 Experience writing database-heavy services or APIs.

 Experience building and optimizing data pipelines, architectures, and data sets. 

 Working knowledge of queueing, stream processing, and highly scalable data stores 

 Experience working with and supporting cross-functional teams.

 Strong understanding of structuring code for testability.

Preferred Qualifications:

 Professional experience implementing and maintaining MLOps pipelines in MLflow or AzureML.

 Professional experience implementing data ingestion pipelines using Data Factory.

 Professional experience with Databricks and coding with notebooks.

 Professional experience processing and manipulating data using SQL and Python code.

 Professional experience with user training, customer support, and coordination with cross-functional teams.