Bigdata Scala Engineer Vice president
Citigroup · Pune
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!
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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.------------------------------------------------------
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