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Bigdata Scala Engineer Vice president

Citi · Pune Maharashtra India

On-site / hybridBackend 318 days ago

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About the job

Skills mentioned in this posting (25)

SQLAWSKubernetesCI/CDDockerAzureMachine LearningDevOpsGCPKafkaSoftware DevelopmentCloudDistributed SystemsETLAnalyticsScalaSparkSnowflakeDatabricksStakeholder ManagementData ModelingData WarehousingBigQueryRedshiftHadoop

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Vice President, Big Data Scala Engineer Location: Pune About the Role: We are seeking an experienced and highly skilled Vice President, Big Data Scala Engineer to lead the design, development, and implementation of our next-generation big data platforms and applications. The ideal candidate will be a technical leader with a strong background in Scala, Spark, and other big data technologies, capable of driving innovation, mentoring engineers, and collaborating with cross-functional teams to deliver robust and scalable solutions. This role requires a strategic thinker who can translate business requirements into technical architectures and lead their execution. Key Responsibilities: - Technical Leadership: - Lead the architecture, design, and development of high-performance, scalable, and reliable big data processing systems using Scala and Apache Spark. - Drive technical vision and strategy for big data initiatives, ensuring alignment with overall company goals and industry best practices. - Evaluate and recommend new technologies and tools to enhance our big data capabilities and maintain a competitive edge. - Engineering & Development: - Design, develop, and optimize data pipelines for ingestion, transformation, and storage of massive datasets from various sources. - Implement robust and efficient data processing jobs using Scala and Spark (batch and streaming). - Ensure data quality, integrity, and security across all big data platforms. - Promote and enforce best practices in coding, testing, and deployment. - Team Leadership & Mentorship: - Mentor and guide a team of talented big data engineers, fostering a culture of technical excellence, continuous learning, and collaboration. - Conduct code reviews, provide constructive feedback, and contribute to the professional growth of team members. - Participate in the recruitment and hiring of top engineering talent. - Collaboration & Stakeholder Management: - Partner with product managers, data scientists, and other engineering teams to understand business requirements and translate them into technical solutions. - Communicate complex technical concepts and solutions effectively to both technical and non-technical stakeholders. - Work closely with DevOps and SRE teams to ensure operational excellence, monitoring, and troubleshooting of big data systems. - Strategy & Innovation: - Contribute to the strategic roadmap for big data engineering, identifying opportunities for innovation and improvement. - Stay abreast of emerging trends and technologies in the big data ecosystem and incorporate them into our platform where appropriate. Qualifications: - Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Experience: - 12+ years of progressive experience in software development, with at least 5+ years focusing on big data technologies. - 3+ years of experience in a leadership or senior architectural role. - Extensive hands-on experience with Scala for big data processing. - Demonstrated expertise with Apache Spark (Spark Core, Spark SQL, Spark Streaming). - Strong experience with distributed systems and big data ecosystems (e.g., Hadoop, Kafka, Cassandra, HBase, Delta Lake, Snowflake, Databricks). - Proficiency with cloud platforms (AWS, Azure, GCP) and their big data services (e.g., EMR, Redshift, Glue, DataProc, BigQuery). - Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines. - Solid understanding of data warehousing concepts, ETL/ELT processes, and data modeling. - Familiarity with functional programming paradigms in Scala. - Skills: - Exceptional problem-solving and analytical skills. - Strong leadership, communication, and interpersonal skills. - Ability to work independently and collaboratively in a fast-paced, dynamic environment. - Proactive and results-oriented with a strong sense of ownership. Preferred Qualifications: - Experience with real-time data processing and stream analytics. - Knowledge of machine learning frameworks and their application in big data. - Contributions to open-source big data projects. - Experience in the financial services industry. What We Offer: - Opportunity to work on cutting-edge big data technologies and impactful projects. - A collaborative and innovative work environment. - Competitive compensation and benefits package. - Opportunities for professional growth and career advancement. - If you are a passionate and experienced Big Data leader looking to make a significant impact, we encourage you to apply! ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.