Description

You will design, implement, and lead enterprise-scale data solutions across AWS, Azure, and GCP.

This role is on-site.

Responsibilities

• Design and lead enterprise-grade data architectures on cloud platforms.
• Implement Big Data processing solutions using Apache Spark, Beam, and Databricks.
• Build data lakes, warehouses, and streaming pipelines on BigQuery, Redshift, Synapse, and Snowflake.
• Develop real-time ingestion workflows using Kafka, Pub/Sub, Kinesis, and Event Hubs.
• Prepare RfP responses and technical architectures for client engagements.

Required Skills

• 16–18+ years in DWBI, Big Data, and Cloud Technologies.
• Hands-on experience with at least two hyperscaler platforms: AWS, Azure, GCP.
• Proficiency in Apache Spark and Apache Beam.
• Strong implementation experience with Airflow and Dataflow.
• In-depth knowledge of BigQuery, Redshift, and Synapse.
• Experience with streaming platforms like Kafka and Pub/Sub.
• Expertise in data modeling, database architecture, and ETL design.
• Strong knowledge of SQL/NoSQL databases and predictive analytics.
• Familiarity with DevOps tools such as Jenkins and Terraform.

Preferred Skills

• Experience with Databricks and Snowflake.

Key Skills

Education

Any Graduate