Description

You will own the design and implementation of data solutions.

This role is hybrid.

Responsibilities

• Architect and implement data ingestion, validation, and transformation pipelines.
• Collaborate with Product, Development, and Enterprise Data teams to design batch and streaming integrations.
• Troubleshoot data pipelines and resolve issues according to SDLC.
• Estimate, track, and communicate status of assigned items to stakeholders.

Required Skills

• 10+ years of industry experience in data architecture.
• Strong proficiency in AWS services: Kinesis, Kafka, DMS, S3, EBS, EFS, EC2, Lambda, ECS, EKS.
• Hands-on experience with AWS Athena, Glue, PySpark, EMR, DynamoDB, Redshift, and Apache Spark.
• Proven experience in Java development.
• Knowledge of Big Data Architecture on cloud and on-premise environments.
• Working experience with Databricks on AWS and Snowflake on AWS.
• Proficiency in Agile Methodology and Kanban.

Preferred Skills

• Strong experience in Azure with hands-on experience in 2 or more: Azure SQL DB, Azure SQL Managed Instance, Azure Data Lake Store, Azure Cosmos DB, Azure Database for PostgreSQL, or Azure Database for MySQL.

Key Skills

Education

Any Graduate