
Data Architect- Analytics
4 days ago
We are looking for an experienced Data Architect - Analytics to design and deliver scalable, cloud-based data solutions. You will lead data architecture, build high-performance pipelines, and drive innovation in big data engineering across domains. Strong expertise in distributed systems, cloud platforms, and advanced analytics is essential to transform data into actionable insights.
**Responsibilities**:
- 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.
**Requirements**:
- 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.
- 15 years of experience in data engineering. Formative years may be in development projects in Datawarehouse, 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.
- 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. Hands-on experience with Amazon Web Services.
**Quality Compliance**
Compliance to Quality and Information Security is critical in ensuring the integrity, confidentiality, availability of data and the consistent delivery of high-quality services are an important aspect of hiring for this position.
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