18,060 Scala jobs in India

Job Title: Big Data Engineer – ScalaLocation: Bangalore, Chennai, Gurgaon, Pune, Mumbai.Experience: 7–10 Years (Minimum 3+ years in Scala)Notice Period: Immediate to 30 DaysMode of Work: Hybrid ? Click the link below to learn more about the role and take the AI Interview to begin your application journey: Pe NRole OverviewWe are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, Ni Fi, 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 (Py Spark), and Python for data processing and transformation.- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like Ni Fi / 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 Dev Ops 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 (Py Spark) and Python.- Hands-on experience with Apache Kafka.- Knowledge of Ni Fi / 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 – ScalaLocation: Bangalore, Chennai, Gurgaon, Pune, Mumbai.Experience: 7–10 Years (Minimum 3+ years in Scala)Notice Period: Immediate to 30 DaysMode of Work: Hybrid ? Click the link below to learn more about the role and take the AI Interview to begin your application journey: Pe NRole OverviewWe are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, Ni Fi, 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 (Py Spark), and Python for data processing and transformation.- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like Ni Fi / 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 Dev Ops 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 (Py Spark) and Python.- Hands-on experience with Apache Kafka.- Knowledge of Ni Fi / 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 – ScalaLocation: Bangalore, Chennai, Gurgaon, Pune, Mumbai.Experience: 7–10 Years (Minimum 3+ years in Scala)Notice Period: Immediate to 30 DaysMode of Work: Hybrid ? Click the link below to learn more about the role and take the AI Interview to begin your application journey: Pe NRole OverviewWe are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, Ni Fi, 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 (Py Spark), and Python for data processing and transformation.- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like Ni Fi / 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 Dev Ops 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 (Py Spark) and Python.- Hands-on experience with Apache Kafka.- Knowledge of Ni Fi / 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 – ScalaLocation: Bangalore, Chennai, Gurgaon, Pune, Mumbai.Experience: 7–10 Years (Minimum 3+ years in Scala)Notice Period: Immediate to 30 DaysMode of Work: Hybrid ? Click the link below to learn more about the role and take the AI Interview to begin your application journey: Pe NRole OverviewWe are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, Ni Fi, 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 (Py Spark), and Python for data processing and transformation.- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like Ni Fi / 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 Dev Ops 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 (Py Spark) and Python.- Hands-on experience with Apache Kafka.- Knowledge of Ni Fi / 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 – ScalaLocation: Bangalore, Chennai, Gurgaon, Pune, Mumbai.Experience: 7–10 Years (Minimum 3+ years in Scala)Notice Period: Immediate to 30 DaysMode of Work: Hybrid ? Click the link below to learn more about the role and take the AI Interview to begin your application journey: Pe NRole OverviewWe are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, Ni Fi, 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 (Py Spark), and Python for data processing and transformation.- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like Ni Fi / 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 Dev Ops 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 (Py Spark) and Python.- Hands-on experience with Apache Kafka.- Knowledge of Ni Fi / 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 – ScalaLocation: Bangalore, Chennai, Gurgaon, Pune, Mumbai.Experience: 7–10 Years (Minimum 3+ years in Scala)Notice Period: Immediate to 30 DaysMode of Work: Hybrid ? Click the link below to learn more about the role and take the AI Interview to begin your application journey: Pe NRole OverviewWe are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, Ni Fi, 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 (Py Spark), and Python for data processing and transformation.- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like Ni Fi / 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 Dev Ops 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 (Py Spark) and Python.- Hands-on experience with Apache Kafka.- Knowledge of Ni Fi / 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 – ScalaLocation: Bangalore, Chennai, Gurgaon, Pune, Mumbai.Experience: 7–10 Years (Minimum 3+ years in Scala)Notice Period: Immediate to 30 DaysMode of Work: Hybrid ? Click the link below to learn more about the role and take the AI Interview to begin your application journey: Pe NRole OverviewWe are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, Ni Fi, 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 (Py Spark), and Python for data processing and transformation.- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like Ni Fi / 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 Dev Ops 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 (Py Spark) and Python.- Hands-on experience with Apache Kafka.- Knowledge of Ni Fi / 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 – ScalaLocation: Bangalore, Chennai, Gurgaon, Pune, Mumbai.Experience: 7–10 Years (Minimum 3+ years in Scala)Notice Period: Immediate to 30 DaysMode of Work: Hybrid ? Click the link below to learn more about the role and take the AI Interview to begin your application journey: Pe NRole OverviewWe are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, Ni Fi, 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 (Py Spark), and Python for data processing and transformation.- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like Ni Fi / 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 Dev Ops 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 (Py Spark) and Python.- Hands-on experience with Apache Kafka.- Knowledge of Ni Fi / 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 – ScalaLocation: Bangalore, Chennai, Gurgaon, Pune, Mumbai.Experience: 7–10 Years (Minimum 3+ years in Scala)Notice Period: Immediate to 30 DaysMode of Work: Hybrid ? Click the link below to learn more about the role and take the AI Interview to begin your application journey: Pe NRole OverviewWe are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, Ni Fi, 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 (Py Spark), and Python for data processing and transformation.- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like Ni Fi / 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 Dev Ops 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 (Py Spark) and Python.- Hands-on experience with Apache Kafka.- Knowledge of Ni Fi / 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.