Big Data Architect
7 days ago
Job Description:
At Robosoft, we're passionate about building solutions that solves problems. We count on Big Data Architects who are primary helping us design large data solution from high level to low level keeping cost and performance in consideration. Our customers look for solution which can help them build intelligent analytical platform and support data science activities, this role become much crucial to understand the objectives and turn them into a great design.
**Objectives of this role**:
- Front face customer for designing data solutions
- Build solutions and systems to manage data and analytics workload
- Improve reliability, quality, and time-to-market of our suite of software solutions
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement
**Responsibilities**:
- **10 - 15 years of experience in data engineering**. Formative years may be in development projects in Dataware house, DataMart's, ETL, data modelling, data rich middleware's, and distributed computing solutions.
- Last 5 years need to be in big data engineering projects involving Hadoop, HBase, Kafka, Hive, Spark, Spark streaming, in-memory database systems, column-oriented database systems and document databases (NoSQL and SQL)
- Should have programmed extensively in python, Scala, java
- Good hands-on experience on open-source kernels and understand distributed compute, distributed storage, serverless and extremely scalable architectures.
- Should have managed an industry standard program in cloud building data pipelines, data migrations or analytics pipelines.
- Exposure to databricks, Azure Datafactory, ADLS, AWS Redshift, AWS S3, Glue, Snowflake, Apache airflow is added advantage.
- Should have worked as software solution provider at the level of solution architect, technology evangelist in medium to large ISV.
- Direct experience of at least 3 years in design and delivery of bigdata solutions in BFSI vertical.
- Experience in the OTT/BFSI/Retail domain and familiarity with OTT data constructs would be a big plus.
**Required skills and qualifications**:
- Bachelor's degree (or equivalent) in computer science or related discipline
- Ability to program (structured and OOP) using one or more high-level languages, such as Python, Java, Scala or.net
- Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, as well as dynamic resource management frameworks (Apache Kafka, Kubernetes, Yarn)
- Proactive approach to identifying problems, performance bottlenecks, and areas for improvement
- Expert understanding of data systems and platform specially, data pipeline, data lake, data model and warehousing
- Exposure to Snowflake and data bricks are must
**Salary**: ₹2,500,000.00 - ₹3,500,000.00 per year
Application Question(s):
**Experience**:
- total work: 10 years (required)
Work Location: In person
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