Description

You will design, implement, and lead enterprise-scale data solutions.

Responsibilities

• Design and lead enterprise-grade data architectures leveraging AWS, Azure, and/or GCP cloud platforms.
• Implement Big Data processing solutions using Apache Spark, Beam, Databricks, and related frameworks.
• Develop data lakes, data warehouses, and streaming pipelines on platforms such as BigQuery, Redshift, Synapse, Snowflake.
• Build and optimize real-time data ingestion and processing workflows (Pub/Sub, Kinesis, MQ, Event Hubs, Kafka).
• Prepare RfP responses, solution designs, 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 Big Data services including Apache Spark and Apache Beam.
• Strong implementation experience with cloud-native ETL/ELT tools like Airflow and Dataflow.
• In-depth knowledge of data warehousing solutions (BigQuery, Redshift, Synapse) and streaming platforms (Kafka, Pub/Sub).
• Expertise in data modeling, database architecture, and ETL design.
• Strong knowledge of database systems (SQL/NoSQL), predictive analytics, and unstructured data handling.
• Familiarity with DevOps tools such as Jenkins and Terraform.

Key Skills

Education

Any Graduate