3737 Scala jobs in Bengaluru

Big Data Engineer (Scala + Spark)

Bengaluru, Karnataka Xebia

Posted 7 days ago

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Big Data Engineer (Scala + Spark)

Bengaluru, Karnataka Xebia

Posted today

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Job Description

We’re Hiring – Big Data Engineer (Scala + Spark)

Location: Bangalore – Whitefield (Hybrid: 3 Days Office / Week)

Budget: Up to 30 LPA

Availability: Immediate to Max 2 Weeks Notice

Must Have Skills:

  • Scala & Spark (Mandatory)
  • Big Data & Hadoop Ecosystem
  • Hive, Kafka, Oozie
  • Python
  • Data Structures & Algorithms
  • Design & Coding Skills
  • CI/CD Pipelines
  • Problem Solving & Communication Skills
  • Strong Organizational Skills

Nice to Have:

  • Experience in distributed data processing & performance optimization

Why Join Us?

At Xebia, you’ll be part of a high-performance engineering team solving challenging data problems for global clients. We value innovation, ownership, and continuous learning.

How to Apply:

Send your updated CV to with the below details:

  • Full Name
  • Total Experience
  • Current CTC
  • Expected CTC
  • Current Location
  • Preferred Xebia Location (from above)
  • Notice Period / Last Working Day (if serving)
  • Primary Skills
  • LinkedIn Profile
This advertiser has chosen not to accept applicants from your region.

Big data engineer (scala + spark)

Bengaluru, Karnataka Xebia

Posted today

Job Viewed

Tap Again To Close

Job Description

? We’re Hiring – Big Data Engineer (Scala + Spark)? Location: Bangalore – Whitefield (Hybrid: 3 Days Office / Week)? Budget: Up to 30 LPA? Availability: Immediate to Max 2 Weeks NoticeMust Have Skills:Scala & Spark (Mandatory)Big Data & Hadoop EcosystemHive, Kafka, OoziePythonData Structures & AlgorithmsDesign & Coding SkillsCI/CD PipelinesProblem Solving & Communication SkillsStrong Organizational SkillsNice to Have:Experience in distributed data processing & performance optimizationWhy Join Us?At Xebia, you’ll be part of a high-performance engineering team solving challenging data problems for global clients. We value innovation, ownership, and continuous learning? How to Apply:Send your updated CV to with the below details:Full NameTotal ExperienceCurrent CTCExpected CTCCurrent LocationPreferred Xebia Location (from above)Notice Period / Last Working Day (if serving)Primary Skills Profile

This advertiser has chosen not to accept applicants from your region.

Big Data Engineer (Scala + Spark)

Bengaluru, Karnataka Xebia

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

We’re Hiring – Big Data Engineer (Scala + Spark)

Location: Bangalore – Whitefield (Hybrid: 3 Days Office / Week)

Budget: Up to 30 LPA

Availability: Immediate to Max 2 Weeks Notice

Must Have Skills:

- Scala & Spark (Mandatory)
- Big Data & Hadoop Ecosystem
- Hive, Kafka, Oozie
- Python
- Data Structures & Algorithms
- Design & Coding Skills
- CI/CD Pipelines
- Problem Solving & Communication Skills
- Strong Organizational Skills

Nice to Have:

- Experience in distributed data processing & performance optimization

Why Join Us?

At Xebia, you’ll be part of a high-performance engineering team solving challenging data problems for global clients. We value innovation, ownership, and continuous learning.

How to Apply:

Send your updated CV to with the below details:

- Full Name
- Total Experience
- Current CTC
- Expected CTC
- Current Location
- Preferred Xebia Location (from above)
- Notice Period / Last Working Day (if serving)
- Primary Skills
- LinkedIn Profile
This advertiser has chosen not to accept applicants from your region.

Big Data Engineer (Scala + Spark)

Bengaluru, Karnataka Xebia

Posted today

Job Viewed

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Job Description

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Big Data Engineer (Scala + Spark)

Bangalore, Karnataka Xebia

Posted 9 days ago

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Job Description

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Big Data Engineer (Scala + Spark)

Bengaluru, Karnataka Xebia

Posted today

Job Viewed

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Job Description

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Big Data Developer (Spark/Scala + Python)

Bellandur, Karnataka Synechron

Posted today

Job Viewed

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Job Description

Job Summary

Synechron is seeking an experienced Big Data Developer with strong expertise in Spark, Scala, and Python to lead and contribute to large-scale data projects. The role involves designing, developing, and implementing robust data solutions that leverage emerging technologies to enhance business insights and operational efficiency. The successful candidate will play a key role in driving innovation, mentoring team members, and ensuring the delivery of high-quality data products aligned with organizational objectives.

Software Requirements

  • Required: Apache Spark (latest stable version)Scala (version 2.12 or higher)Python (version 3.6 or higher)Big Data tools and frameworks supporting Spark and Scala
  • Preferred: Cloud platforms such as AWS, Azure, or GCP for data deploymentData processing or orchestration tools like Kafka, Hadoop, or AirflowData visualization tools for data insights
  • Overall Responsibilities

  • Lead the development and implementation of data pipelines and solutions using Spark, Scala, and Python
  • Collaborate with business and technology teams to understand data requirements and translate them into scalable solutions
  • Mentor and guide junior team members on best practices in big data development
  • Evaluate and recommend new technologies and tools to improve data processing and quality
  • Stay informed about industry trends and emerging technologies relevant to big data and analytics
  • Ensure timely delivery of data projects with high standards of quality, performance, and security
  • Lead technical reviews, code reviews, and provide inputs to improve overall development standards and practices
  • Contribute to architecture design discussions and assist in establishing data governance standards
  • Technical Skills (By Category)

    Programming Languages:

  • Essential: Spark (Scala), Python
  • Preferred: Knowledge of Java or other JVM languages
  • Data Management & Databases:

  • Experience with distributed data storage solutions (HDFS, S3, etc.)
  • Familiarity with NoSQL databases (e.g., Cassandra, HBase) and relational databases for data integration
  • Cloud Technologies:

  • Preferred: Cloud platforms (AWS, Azure, GCP) for data processing, storage, and deployment
  • Frameworks & Libraries:

  • Spark MLlib, Spark SQL, Spark Streaming
  • Data processing libraries in Python (pandas, PySpark)
  • Development Tools & Methodologies:

  • Version control (Git, Bitbucket)
  • Agile methodologies (Scrum, Kanban)
  • Data pipeline orchestration tools (Apache Airflow, NiFi)
  • Security & Compliance:

  • Understanding of data security best practices and data privacy regulations
  • Experience Requirements

  • 5 to 10 years of hands-on experience in big data development and architecture
  • Proven experience in designing and developing large-scale data pipelines using Spark, Scala, and Python
  • Demonstrated ability to lead technical projects and mentor team members
  • Experience working with cross-functional teams including data analysts, data scientists, and business stakeholders
  • Track record of delivering scalable, efficient, and secure data solutions in complex environments
  • Day-to-Day Activities

  • Develop, test, and optimize scalable data pipelines using Spark, Scala, and Python
  • Collaborate with data engineers, analysts, and stakeholders to gather requirements and translate into technical solutions
  • Lead code reviews, mentor junior team members, and enforce coding standards
  • Participate in architecture design and recommend best practices in big data development
  • Monitor data workflows performance and troubleshoot issues to ensure data quality and reliability
  • Stay updated with industry trends and evaluate new tools and frameworks for potential implementation
  • Document technical designs, data flows, and implementation procedures
  • Contribute to continuous improvement initiatives to optimize data processing workflows
  • Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
  • Relevant certifications in cloud platforms, big data, or programming languages are advantageous
  • Continuous learning on innovative data technologies and frameworks
  • Professional Competencies

  • Strong analytical and problem-solving skills with a focus on scalable data solutions
  • Leadership qualities with the ability to guide and mentor team members
  • Excellent communication skills to articulate technical concepts to diverse audiences
  • Ability to work collaboratively in cross-functional teams and fast-paced environments
  • Adaptability to evolving technologies and industry trends
  • Strong organizational skills for managing multiple projects and priorities
  • Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


    All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

    This advertiser has chosen not to accept applicants from your region.

    Big Data Developer (Spark/Scala + Python)

    Bengaluru, Karnataka Synechron

    Posted today

    Job Viewed

    Tap Again To Close

    Job Description

    Job Summary

    Synechron is seeking an experienced Big Data Developer with strong expertise in Spark, Scala, and Python to lead and contribute to large-scale data projects. The role involves designing, developing, and implementing robust data solutions that leverage emerging technologies to enhance business insights and operational efficiency. The successful candidate will play a key role in driving innovation, mentoring team members, and ensuring the delivery of high-quality data products aligned with organizational objectives.

    Software Requirements

  • Required: Apache Spark (latest stable version)Scala (version 2.12 or higher)Python (version 3.6 or higher)Big Data tools and frameworks supporting Spark and Scala
  • Preferred: Cloud platforms such as AWS, Azure, or GCP for data deploymentData processing or orchestration tools like Kafka, Hadoop, or AirflowData visualization tools for data insights
  • Overall Responsibilities

  • Lead the development and implementation of data pipelines and solutions using Spark, Scala, and Python
  • Collaborate with business and technology teams to understand data requirements and translate them into scalable solutions
  • Mentor and guide junior team members on best practices in big data development
  • Evaluate and recommend new technologies and tools to improve data processing and quality
  • Stay informed about industry trends and emerging technologies relevant to big data and analytics
  • Ensure timely delivery of data projects with high standards of quality, performance, and security
  • Lead technical reviews, code reviews, and provide inputs to improve overall development standards and practices
  • Contribute to architecture design discussions and assist in establishing data governance standards
  • Technical Skills (By Category)

    Programming Languages:

  • Essential: Spark (Scala), Python
  • Preferred: Knowledge of Java or other JVM languages
  • Data Management & Databases:

  • Experience with distributed data storage solutions (HDFS, S3, etc.)
  • Familiarity with NoSQL databases (e.g., Cassandra, HBase) and relational databases for data integration
  • Cloud Technologies:

  • Preferred: Cloud platforms (AWS, Azure, GCP) for data processing, storage, and deployment
  • Frameworks & Libraries:

  • Spark MLlib, Spark SQL, Spark Streaming
  • Data processing libraries in Python (pandas, PySpark)
  • Development Tools & Methodologies:

  • Version control (Git, Bitbucket)
  • Agile methodologies (Scrum, Kanban)
  • Data pipeline orchestration tools (Apache Airflow, NiFi)
  • Security & Compliance:

  • Understanding of data security best practices and data privacy regulations
  • Experience Requirements

  • 5 to 10 years of hands-on experience in big data development and architecture
  • Proven experience in designing and developing large-scale data pipelines using Spark, Scala, and Python
  • Demonstrated ability to lead technical projects and mentor team members
  • Experience working with cross-functional teams including data analysts, data scientists, and business stakeholders
  • Track record of delivering scalable, efficient, and secure data solutions in complex environments
  • Day-to-Day Activities

  • Develop, test, and optimize scalable data pipelines using Spark, Scala, and Python
  • Collaborate with data engineers, analysts, and stakeholders to gather requirements and translate into technical solutions
  • Lead code reviews, mentor junior team members, and enforce coding standards
  • Participate in architecture design and recommend best practices in big data development
  • Monitor data workflows performance and troubleshoot issues to ensure data quality and reliability
  • Stay updated with industry trends and evaluate new tools and frameworks for potential implementation
  • Document technical designs, data flows, and implementation procedures
  • Contribute to continuous improvement initiatives to optimize data processing workflows
  • Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
  • Relevant certifications in cloud platforms, big data, or programming languages are advantageous
  • Continuous learning on innovative data technologies and frameworks
  • Professional Competencies

  • Strong analytical and problem-solving skills with a focus on scalable data solutions
  • Leadership qualities with the ability to guide and mentor team members
  • Excellent communication skills to articulate technical concepts to diverse audiences
  • Ability to work collaboratively in cross-functional teams and fast-paced environments
  • Adaptability to evolving technologies and industry trends
  • Strong organizational skills for managing multiple projects and priorities
  • Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


    All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

    This advertiser has chosen not to accept applicants from your region.
     

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