681 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.
  

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 .

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 .

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 .

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 .

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 .

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 .

BOLD is an established and fast-growing product company that transforms work lives. Since 2005, BOLD has delivered award-winning career services that have a meaningful and positive impact on job seekers and employers. BOLD’s robust product line includes a professional resume and cover letter writing services, scientifically validated career tests, and employer tools that help companies hire, onboard, and communicate with their staff.

Big Data is all about making dry figures accessible and useful to the right audience. Our team is working on latest tools for ETL, reporting, analysis and is providing performance monitoring and insights via dashboards, scorecards and ad hoc analysis which help create Customer Engagement reporting and modelling using our event stream.

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About BOLD

BOLD is a fast-paced, product company founded by two entrepreneurs passionate about helping people achieve their dreams. We stand together as a team empowering people to reach their professional aspirations.With our headquarters in Puerto Rico and offices in San Francisco and India, we’re a global organization on a path to change the career industry . Our vision is to revolutionize the online career world by creating transformational products that help people find jobs and companies hire the best candidates.A career at BOLD promises great challenges, opportunity, culture and the environment and you forge your own path ahead. Join us and discover what a great place BOLD is!