Job Responsibilities:
- Planning, design and execution of SOA backend platforms. Mostly around REST based Web
- Build frameworks using JAVA (Spark,Spring, ORM)
- High level and Low level design of the highly scalable components
- Track defects and works with business owners and users to triage bugs and manage a backlog
- Taking care of Nonfunctional requirements like Scale/ High Availability/Performance/Security
- Build/Deployments/DevOps-related work on AWS
- Works collaboratively in a multi-disciplinary team environment; establishes and maintains professional networks with subject matter experts
- Be the key technical advisor to define the roadmap of project
- Lead teams of talented engineers and coach them to their full potential.
- As you will be managing the analytics team, you are required to manage the dynamics of the requirements, prioritization, and deliveries
- Give growth charter to the team members and conduct 1-1 / feedback/appraisal
- Lead by example in software development best practices, agile development, and cross-team collaboration.
- Bring in and influence engineering optimizations
- Work with Product Managers and partners to define business roadmaps.
- Work with architects and fellow engineers to define technical architectures and execution plans.
- Execute business and technology roadmaps by collaborating with other engineering teams.
- Be accountable for the outcomes, measured by appropriate metrics
- Drive product vision and strategy
Requirements:
- 7+ years’ Experience preferred.B.Tech/M.Tech in Computer Science or related fields.
- 4+ years of people management experience.
- 2+ years of recent full-stack development experience.
- Extensive experience running teams in an agile environment.
- Deep experience with the full software development life cycle.
- AWS Aurora, Kafka, and MWAA experience required
- Proficient with mainstream fullstack technologies such as Java, Spring boot, RDBMS, NoSQL, ElasticSearch, Node.js, JS frameworks (React, Vue.js etc)
- Strong experience with AWS cloud technologies.
- Strong Analytical skills – can ask the right questions, analyze data, concludes by making appropriate assumptions
- Organization skills – demonstrated ability to work independently to make complex investigations
- Working experience on asynchronous messaging systems like Kafka.
- Strong ability in architectural design and discussion.
- Proven ability to manage multiple, competing for priorities simultaneously.
- Excellent communication skills to convey technical insights to a non-technical audience
Good To Have
- Proficiency in SQL and Advanced Excel (Array and Statistical formulas)
- Prior data mining, DW / BI experience
- Knowledge of BI & statistical tools such as Power BI, SQL & ETL DW concepts
- Automate the report generation process through the use of BI tools and programming techniques: such as SQL, DW concepts
- Good knowledge of R, and ML modeling
- Understanding visualization tools such as PowerBI, Tableau, Datazen, and SSRS is a plus
- Experience with modern Data warehousing solutions such as AWS Redshift, Snowflake, GCP BigQuery
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