Data Architect

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 organization s 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)