Job Detail

Job Description

Major Job Responsibilities:

• Partners with Product Managers, and Solution Architects to define, analyze, and estimate the level of effort to deliver customer’s technical requirements
• Provides technical input to Statement of Work for External Service Providers
• Ability to break down product management stories into detailed design specifications for medium to complex business problems
• Guides team members on the use of design patterns and adherence to code quality metrics
• Builds cloud-native applications
• Leads team members in Agile development best practices: pair programming, test-driven development
• Uses software code management tools and processes to ensure code traceability and good governance.
• Conducts code reviews with other team members (either internal or external service providers)
• Makes continuous improvement to our coding and test practices across applications
• Works in DevOps team which uses continuous development, integration, and testing with automated releases to lower and higher environments with application monitoring plus supporting the product
• Analyzes and resolves problems of high to critical complexity, and ability to identify recurring issues to root cause
• Be a thought leader! Mentor, coach, and guide developers in the team
• Participates in recommending emerging technologies and application solutions

Requirements:

• High Problem-Solving Skills with analytical thinking and logical reasoning
• Multiple project execution experience with Spark – RDDs, SparkSQL, Spark Streaming, Structured Streaming
• Knowledge on Hive-Spark, HBase-Spark integrations
• Working experience on the cloud-based spark environments such as Databricks on Azure.
• Hands-on experience writing notebooks using Python/Scala.
• Automation using Linux shell & Python scripting.
• Proficient in streaming tech stack based on Kafka – Heterogeneous producers/consumers, Kafka Connectors, Schema registry, KSQL, KStreams. (Knowledge on Confluent platform would be an advantage).
• Development experience on consuming Kafka streams from Spark & Java applications.
• Hands-on experience working with huge datasets in HDFS & Hive/HQL.
• Development experience with Enterprise integration patterns.
• Working knowledge of at least one No-SQL database like MongoDB, Cassandra, HBase.
• Proficient knowledge of Domain-Driven Design, TDD and Unit testing frameworks like Junit and Mockito
• Exposure towards logging frameworks/tools like Log4J and Splunk
• Proficient in standardization and maintenance of code quality measures with the help of tools like Sonar.
• Proficient in maintaining security aspects of the application (OAuth, SSO, LDAP)
• Should have led a small to medium team in design, build, and deploy applications/products.

Skills Required