3537 Scala jobs in Bengaluru

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

Click the link below to learn more about the role and take the AI Interview to begin your application journey:

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

Click the link below to learn more about the role and take the AI Interview to begin your application journey:

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

Click the link below to learn more about the role and take the AI Interview to begin your application journey:

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 .

This role is for one of Weekday’s clients
Salary range: Rs - Rs (ie INR 10-20 LPA)
Min Experience: 8 years
Location: Bengaluru, Mumbai
JobType: full-time

Requirements

Job Summary:

We are looking for a skilled Scala Developer with at least 7+ years of professional experience in building scalable, high-performance backend applications. The ideal candidate should have a strong grasp of functional programming, data processing frameworks, and cloud-based environments.

Key Responsibilities:

• Design, develop, test, and deploy backend services and APIs using Scala.
• Collaborate with cross-functional teams including product managers, frontend developers, and QA engineers.
• Optimize and maintain existing codebases, ensuring performance, scalability, and reliability.
• Write clean, well-documented, and testable code following best practices.
• Work with tools and technologies like Akka, Play Framework, and Kafka.
• Participate in code reviews, knowledge sharing, and mentoring junior developers.
• Integrate with SQL/NoSQL databases and third-party APIs.
• Build and maintain data pipelines using Spark or similar tools (if required).

Required Skills:

• Strong hands-on experience with Scala and the functional programming paradigm.
• Experience with Play Framework, Akka, or Lagom.
• Proficiency in working with RESTful APIs, Microservices Architecture, and API integration.
• Good understanding of concurrency, asynchronous programming, and stream processing.
• Hands-on experience with SQL/NoSQL databases like PostgreSQL, MySQL, Cassandra, or MongoDB.
• Familiarity with build tools like SBT or Maven.
• Comfortable using Git, Docker, and CI/CD pipelines.
• Experience working in Agile/Scrum environments.

Responsibilities

Key Skills

Scala Spark

Exp: 5 to 9 yrs

Location: Bengaluru, Pune, Mumbai & Chennai

Notice period: Less than 30 days

Thanks & Regards,

Indumati N