Lead the design and development of our AWS-based data architecture. The role involves hands-on engineering, team leadership, and client interaction, ensuring seamless data ingestion, transformation, and processing across our cloud ecosystem.
Key Responsibilities:
Handle production support engagement for US Clients.
Lead the design and implementation of AWS Data Lakehouse solutions ensuring scalability and performance.
Develop and maintain AWS CDK-based infrastructure for automated provisioning and deployment.
Build and optimize data pipelines using AWS Glue, Lambda, and Athena.
Manage a team of offshore AWS developers, ensuring quality and efficiency in project delivery.
Engage with clients and stakeholders, providing technical expertise and aligning solutions to business needs.
Exposure to DevOps practices & CI/CD pipelines.
Knowledge of data security & governance in AWS.
Implement and manage Apache Iceberg for high-performance table management within the AWS Lakehouse.
Collaborate with cross-functional teams to optimize DynamoDB, Firehose, Kinesis, and Kafka data flows.
Must-Have Skills:
Work Experience in DBT, Redshift.
Experience handling Production Support tickets and engagements.
Experience working with US clients.
AWS Cloud Services (Glue, Lambda, Athena, Lakehouse, Iceberg)
AWS CDK for Infrastructure-as-Code (IaC)
Data pipeline development & orchestration using AWS Glue.
Strong programming skills in Python, Pyspark, Spark SQL, Typescript, Scala, or Java.
Client-facing and team leadership experience.
Must have good communication and interpersonal skills.
Should-Have Skills:
Real-time data streaming (Firehose, Kinesis, Kafka)
Nice-to-Have Skills:
Hands-on experience with Apache Iceberg for data lake management.
Experience with NoSQL databases (DynamoDB)
Job Type: Contractual / Temporary
Contract length: 6 months
Pay: ₹120,000.00 - ₹150,000.00 per month
Application Question(s):
Do you have 8+ years of experience in AWS Data Engineer ?
Do you have experience in handle production support engagement for US Clients ?
Do you have work Experience in DBT, Redshift ?
Do you have experience in handling Production Support tickets and engagements ?
Do you have experience in AWS Cloud Services (Glue, Lambda, Athena, Lakehouse, Iceberg) ?
Do you have strong programming skills in Python, Pyspark, Spark SQL, Typescript, Scala, or Java ?
Work Location: Remote
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