Job Description
Want to join KANINI
We are looking for someone who has a deep understanding of Big Data and Cloud architecture and is excited to advance innovative analytics solutions. As a Data Architect, you effectively communicate ideas and concepts to peers and bring on board the experience of leading projects that support the organizations business objectives and goals.
You Are All Set To
Architect and implement data ingestion, data validation, and data transformation pipelines. Collaborate with the Product, Development, and Enterprise Data teams to design and maintain batch and streaming integrations across a variety of data domains and platforms.
You Are Someone Who Can
- Take ownership in building solutions and proposing architectural designs related to building efficient and timely data ingestion and transformation.
- processes geared towards analytics workloads.
- Manage code deployment to various environments.
- Be proficient at positively critiquing and suggesting improvements via code reviews
- Work with stakeholders to define and develop data ingest, validation, and transform pipelines.
- Troubleshoot data pipelines and resolve issues in alignment with SDLC.
- Ability to diagnose and troubleshoot data issues, recognizing common data integration and transformation patterns
- Estimate, track, and communicate status of assigned items to a diverse group of stakeholders required
You Bring In
- 12 years experience in the industry.
- Experience and knowledge of Big Data Architectures, on cloud and on premise
- Proficiency in AWS Collection Services: Kinesis, Kafka, Database Migration Service
- Proficiency in AWS main Storage Service: S3, EBS, EFS
- Proficiency in AWS main Compute Service: EC2, Lambda, ECS, EKS
- Proven experience in: Java, Working experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS
- Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB
- AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Data Analytics
- Working experience with Agile Methodology and Kanban
We Prefer
Strong experience in Azure is preferred with hands-on experience in 2 or more of these skills: Azure SQL DB, Azure SQL Managed Instance, Azure Data Lake Store, Azure Cosmos DB, Azure Database for PostgreSQL, Azure Database for MySQL
Your Qualification Is
B.E/B.Tech/M.C.A/MSc (preferably in Computer Science/IT)
