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Design and maintain scalable data pipelines and ETL processes using Spark, Kafka, and Airflow, and optimize data storage in cloud warehouses and lakes to support analytics and ML initiatives.
Senior Solutions Engineer partners with SI firms to architect and demo Snowflake-based data pipelines and solutions, leveraging PySpark, SQL, and cloud tooling to enable joint customer engagements.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Senior Solutions Engineer designs data architectures, demos Databricks Lakehouse solutions, and guides customers on big data pipelines and ML projects using Python/Scala/Java/R and SQL.
Leads large-scale data migration projects using Java/Scala and Spark, designs robust solutions, and mentors teams to ensure data integrity.
Build and maintain large-scale data pipelines and ETL components in Java/Scala, using Spark for batch/streaming processing to support enterprise clients in media, healthcare, and tech.
Design and build scalable Azure-based data platforms with Databricks for a Fortune 100 client, using Python, SQL, and Scala.
Build and maintain data pipelines on HSBC’s GCDR platform using Spark and Scala in an Agile team.
QA engineer who designs and automates tests for Databricks data pipelines and cloud migrations on AWS/Azure, validating data accuracy and ETL logic.
Design and build an enterprise-scale data platform to power AI workloads, real-time pipelines, and governed data products using Microsoft Fabric, Databricks, and Azure tooling.
Designs and maintains scalable data pipelines, warehouses, and governance frameworks using Python, SQL, and cloud tools to ensure clean, reliable data for analytics and reporting.
Senior Data Engineer builds and maintains scalable data pipelines and ETL processes using Python/Java/Scala, Spark, Hadoop, and cloud platforms.
Builds and optimizes ETL pipelines, ensures data quality, and collaborates in Agile teams using Scala, Python, or Java.
Designs and builds scalable data pipelines on Google Cloud Platform (BigQuery, Data Fusion, Airflow) to support HR analytics and business decision-making.
Design and maintain scalable data pipelines, cloud data lakes/warehouses, and ETL workflows using Python, Spark, and Airflow to support analytics and ML across AWS/GCP/Azure.
Designs and builds secure, scalable data pipelines and APIs to collect, validate, and govern enterprise data across cloud platforms like AWS and Azure.
Build and scale cloud cost-tracking data pipelines using SQL, Python, and orchestration tools to enable FinOps transparency and optimization for enterprise clients.
Lead a team building data pipelines and real-time analytics for e-commerce/travel clients using Kafka, Spark, and cloud platforms.
Build and scale EarnIn’s real-time financial data infrastructure using AWS, Kafka, Spark, and Python/Scala to power earned-wage insights and analytics for millions of users.
Designs and builds scalable data pipelines and products to power AI/ML models and analytics, using Python/Scala/Java, Spark, Airflow, Kafka, and related tools.
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