Java Tech Lead - Product Engineering

Java Developers and Tech Lead

Location : Pune

Exp: 5 - 10 Years

Job Requirements:

• Hands-on experience in coding. Proficient in any one programming language like Java and J2EE technology stack
• Strong in collections and basic/standard algorithms.
• Has a keen interest in data structures
• Strong problem-solving skills
• Having an attitude to getting stuff done!

Nice to have:

• Practices clean coding standards (SOLID, DRY, KISS, YAGNI, design patterns, etc)
• Very strong object-oriented design skills, awareness of design patterns and architectural patterns
• Experience in performance tuning and troubleshooting memory issues, GC tuning, resource leaks, etc.
• Experience in agile methodologies like Scrum, Kanban
• Good understanding of branching, build, deployment, continuous integration methodologies
• Ability to make decisions independently.

Job Responsibilities:

• Practicing TDD as your primary way of doing software development
• Constantly developing new features in our products
• Continuously refactor code to ensure high-quality and maintainable code
• Using Clean Code principles while writing and changing code
• Mentor junior engineers on design, coding and troubleshooting
• Using Domain Driven Design (DDD) in your daily functioning at work
• Performance engineering of slow and resource intensive code
• Spending time on critical build engineering and developer productivity engineering activities
• Carving out new reusable modules whenever the opportunity arises

Few examples of the problems that we attempt to solve:

• Understand large data warehouses ( >500,000 tables/views ) better than any functional/business expert of any data warehouse
• Make optimization recommendations by discovering common access patterns within large data warehouses
• Suggest performance improvement opportunities by discovering redundant processing within different areas of a data warehouse
• Enable metadata discovery by figuring out how data moves between clusters of thousands of tables and views
• Help business users discover interesting/reusable data from among thousands and thousands of possible candidate tables
• Assess impact of changes/outages within one section of a data warehouse and how those changes affect other parts
• Create strategies on how to migrate one data warehouse to others (such as cloud data warehouses)
• Show beautiful and powerful visualizations of data and execution lineage to business/IT users
• Convert large multi lakh table data warehouses to the cloud
• Move complex ETL tool workloads with their orchestration DAGs to cloud native technologies which fulfill their needs better

Our Tech Stack:

• Languages: Kotlin, Groovy, Scala, Java, Python, Bash, SQL (Multiple flavors)
• Frameworks: Spring (Boot, JPA, MVC, Core, Security, Neo4j), Apache Spark, Apache Calcite, Google Cloud Dataflow, RxJava, Micrometer
• Databases: Neo4j, Teradata, Netezza, Oracle, MySQL, BigQuery, Apache Hive, Apache Spark SQL
• ETL Tools: Informatica, Datastage
• Scheduling Tools: Control-M, Airflow/Composer, TWS
• Devops and Build Engineering: Docker, Kubernetes, Helm, Gitlab, Gradle, Maven, Grafana, Prometheus
• UI Technologies: Reactjs, Redux, Typescript, ES6
• Cloud Technologies: Google Cloud (Compute, Dataflow, Dataproc, GCS, BigQuery)