Azure Data Engineer

Note:- Only US Citizen and Green Card can apply.

JD:-

Accomplished Data Architect / Senior Data Engineer with 12 years of experience designing and modernizing

enterprise data platforms across banking, healthcare and retail domains

Architected scalable ETL/ELT pipelines using Python, PySpark, Databricks, AWS Glue and Azure Data Factory,

supporting high-volume transactional and regulatory data processing.

Led enterprise-scale Data Architecture initiatives, defining logical and physical data models, governance

standards and cloud-native platform blueprints across AWS and Azure environments.

Designed and implemented Medallion (Bronze/Silver/Gold) Lakehouse architectures using Delta Lake, S3, ADLS

Gen2, Snowflake, Redshift and Synapse Analytics.

Engineered large-scale distributed processing workloads using Apache Spark, PySpark, Databricks, EMR, Hive

and HDFS, processing billions of records for enterprise analytics.

Orchestrated complex data workflows using Apache Airflow, Databricks Workflows, AWS Step Functions and

Azure Data Factory triggers, ensuring SLA-driven pipeline execution.

Strong hands-on experience in Advanced SQL, including complex joins, CTEs, window functions, stored

procedures, indexing strategies, partitioning and execution plan optimization across Snowflake, PostgreSQL

and Oracle.

Built real-time streaming architectures using Apache Kafka, AWS Kinesis, Azure Event Hub and Service Bus,

supporting fraud detection, claims monitoring and operational telemetry.