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Databricks-focused Data Engineer/Solution Architect embedded in client teams to architect, build, and optimize enterprise Databricks Lakehouse platforms using Medallion Architecture, Spark, Delta Live Tables, Unity Catalog, and CI/CD pipelines across multiple concurrent engagements.
Lead Data Analytics Engineer defining, building, and evolving the analytics data layer (warehouses, pipelines, data products) on GCP using BigQuery, Cloud Composer, Dataflow, and Python/SQL, while establishing engineering best practices and mentoring data engineers.
Lead/Senior Data Engineer designing and delivering scalable data pipelines and platforms using Python, Scala, Spark, and SQL, while mentoring a team and collaborating cross-functionally.
The Senior Data Engineer will design and optimize scalable data pipelines and cloud-based analytics solutions using the Azure ecosystem. The role involves collaborating in an Agile environment to build robust data integration, transformation, and reporting systems.
Senior Data Engineer building scalable data platforms on Azure using Scala and Spark, handling data ingestion, transformation, and analytics enablement for a digital transformation consultancy.
Senior Data Analytics Engineer designing and maintaining the full analytics data layer—building scalable ETL pipelines, managing BigQuery warehouses, and creating visualizations using GCP (BigQuery, Cloud Composer, Dataflow, PubSub), Python, SQL, and Airflow.
Build and maintain scalable data pipelines using Spark, Scala, Airflow, and Azure Databricks in a hybrid role based in Bengaluru. Work with modern data lakehouse technologies, containerization, and CI/CD practices.
Design, develop, and optimize large-scale data processing solutions and high-performance data pipelines using Spark, Scala, and the Hadoop ecosystem for distributed analytics platforms.
Design, build, and maintain scalable ETL data pipelines and data models on cloud platforms using SQL and Python/Java/Scala, collaborating with analysts and scientists in an on-site Hyderabad role.
Data Engineer designing and building AWS-based data migration pipelines (S3, Glue, Redshift, Lambda) to move legacy CRM data into Salesforce, working from the Hyderabad office.
Lead Data Engineer designing and building scalable batch and real-time data pipelines using Scala, Apache Spark, SQL, Kafka, and cloud platforms (AWS/Azure/GCP).
An AWS Data Engineer designing and implementing big data solutions, tuning Spark for high-volume data processing, and troubleshooting performance issues.
Principal Data Engineer building and optimizing big data pipelines and infrastructure for a US healthtech company delivering integrated at-home and virtual care, based in Bangalore.
Data Engineer designing, building, and operating ingestion, transformation, and Lakehouse pipelines on Databricks and Azure for Masco's enterprise POS and commercial data.
Data Engineer building high-performance Spark-based ETL/ELT pipelines and multi-layer data lake/warehouse solutions on Azure for a heavy analytics project.
Lead Data Engineer designing and scaling Chargebee's data platform, building robust ETL/ELT pipelines and distributed systems with Apache Spark, Kafka, SQL, and Python/Java/Scala.
Lead Data Analytics Engineer defining and building the analytics data layer for Papa John's end-to-end analytics stack using GCP (BigQuery, Cloud Composer, Dataflow), Python, and SQL.
Elevate and drive innovation, data engineering solutions, and serve as a decision maker for Firmwide HR and Employee Experience data products. As a Senior Lead Software Engineering at JPMorgan Chase within the Employee…
Entra nel nostro mondo. Trasforma insieme a noi. Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.…
Lead data science projects at a leading Indian credit card issuer, building AI/ML models for credit and fraud risk, and creating dashboards to turn data into business insights.
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