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Senior/Lead Data Engineer designing and developing scalable ETL data pipelines using Azure Databricks, Data Factory, Data Lake, Synapse, and Azure SQL DB, with SQL, Python, and PySpark.
Data Engineer designing and maintaining Spark/PySpark ETL pipelines on AWS (S3, Glue, Redshift, Athena), building BI dashboards, and optimizing cloud costs and query performance.
Build and maintain an enterprise data lake on BigQuery, design ETL pipelines in Python across ERP/CRM sources, and develop ML forecasting models and AI agents using LLM APIs.
Data Engineer owning ELT/ETL pipelines, data models, and quality controls for cloud data platforms, with secondary responsibility for production ML pipelines powering a shopping cart computer-vision classifier. Core tech: SQL, Python, Azure/GCP, Airflow/Prefect, Spark/Databricks.
Data Engineer responsible for database/data warehouse development, data pipeline creation using Azure and Snowflake, data lake development, and building dashboards in Power BI/Tableau. Core technologies include SQL, Python, Azure (Data Factory, Databricks), and Snowflake.
Data Engineer at a consulting firm designing and building scalable, cloud-native Big Data and analytics platforms using Azure, Databricks, Spark, and Python for enterprise clients.
Data Engineer at HOS Global Foods designing, building, maintaining, and optimizing data solutions using T-SQL, Azure Data Services, data warehousing, and ETL/ELT development to support reporting and analytics across the organization.
Designs, implements, and maintains data infrastructure on Google Cloud Platform (GCP) using tools like Dataflow, Dataproc, and BigQuery; collaborates with teams to ensure data is collected, stored, processed, and analyzed effectively.
Data Engineer designing, building, and operating ingestion, transformation, and Lakehouse pipelines on Databricks and Azure for Masco's enterprise POS and commercial data.
Lead Data Engineer building scalable batch, streaming, and near-real-time data platforms on Microsoft Azure using Python, PySpark, SQL, and Kubernetes/AKS with Medallion Architecture.
Data Engineer building high-performance Spark-based ETL/ELT pipelines and multi-layer data lake/warehouse solutions on Azure for a heavy analytics project.
Design, build, and maintain scalable AWS data pipelines and ETL/ELT workflows within a cloud lakehouse environment, enforcing data governance and supporting AI/ML and analytics consumers using Python and SQL.
Design, build, and maintain scalable data pipelines and warehouses on Google Cloud Platform using BigQuery, Dataflow, and Dataproc while ensuring data quality and collaborating with analysts.
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.
Senior Data Engineer at TCS designing and building scalable data platforms, ETL pipelines, and cloud-based data solutions using Python, PySpark/Spark, and cloud technologies (AWS/Azure/GCP).
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile,…
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.
Position Overview We are seeking a Vice President – Technical Program Manager (TPM) to drive the vision, program execution, and cross-functional delivery of our central Autonomous Alpha Generation Platform . Positioned…
Job Summary We are seeking a seasoned Senior Data Engineer to architect, enhance, and sustain our primary data infrastructure. In this role, you will be responsible for creating dependable pipelines, overseeing…
The Solution Architect will lead the design and implementation of enterprise-scale data platforms on Azure using Databricks and Delta Lake. This role involves defining architecture standards, optimizing data pipelines, and collaborating with stakeholders to support advanced analytics and AI/ML initiatives within insurance business domains.
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