Job Description

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
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Job Family:

Applications Development
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Time Type:

Full time
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Most Relevant Skills

Please see the requirements listed above.
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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.
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