Pune, IND
10 days ago
Bigdata Scala Engineer Vice president
**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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
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