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GCP Data Engineer at TCS building and maintaining GCP-based big data pipelines (batch and realtime) using BigQuery, Airflow, Dataflow, DataProc, and Python/PySpark across India.
AWS Data Engineer building and maintaining data pipelines using AWS, Databricks, PySpark, Airflow, and Kafka, with SQL and shell scripting.
Data Engineer (Azure Databricks Developer) with 7+ years experience designing and maintaining scalable data pipelines using Azure Databricks, developing ETL/ELT processes, building Spark-based applications, and ensuring data security and governance.
Design and develop scalable ETL data pipelines using Azure Databricks, Data Factory, and Data Lake, writing SQL/Python/PySpark code for data processing and transformation.
Data Engineer role developing applications in AWS and Python, working with various AWS services including Lambda, SQS, S3, DynamoDB, and others. Requires strong understanding of REST APIs and maintaining existing applications according to enterprise best practices.
Azure Data Engineer building and supporting data pipelines, ETL processes, and large SQL data marts using Azure Data Factory, Databricks, Synapse, and Python.
Design, build, and optimize scalable data pipelines and cloud data platforms on AWS using Python, PySpark, and services like Glue, EMR, S3, Redshift, and Athena.
Design, develop, and maintain test data generation frameworks and tools for banking and digital banking platforms, focusing on middleware ESB and API testing automation at Virtusa in Dubai.
Data Engineer building and maintaining data pipelines, data access layers, and Docker images for a financial services company using SQL, Azure, Snowflake, and Python.
Senior DataOps & Cloud Data Engineer to design, build, and optimize cloud-based data pipelines and lakehouse solutions using Azure Data Factory, Databricks, Informatica, Python, and SQL for a large public-sector modernization project.
Senior Data Engineer designing and developing large-scale data processing and persistence software using big data platforms like AWS, Azure, GCP, and Databricks, primarily with Java, Scala, or Python.
Senior Data Engineer on a remote contract within Canada, building and maintaining scalable data pipelines, ETL/ELT workflows, data models, and Power BI dashboards for the Government of Alberta's Digital Design and Delivery division using Python, SQL, PySpark, and cloud platforms (Azure, Databricks, Microsoft Fabric).
A Senior Data Engineer leading data pipeline delivery, designing scalable architectures, maintaining data lakes, and implementing data quality controls using Databricks and Power BI to support analytics and AI applications.
Design, build, and maintain scalable data pipelines and platforms supporting analytics and ML projects, collaborating with data scientists and stakeholders to ensure data quality, governance, and security.
Senior Data Engineer building ELT/ETL pipelines, data models in Snowflake, and Power BI dashboards for BlackLine's AI-powered Invoice-to-Cash SaaS platform.
Design, build, and operate a cloud-native data platform using Go, Kubernetes, and major cloud providers (AWS, Azure, GCP) with a focus on automation, reliability, and scalability for federal workloads.
Design, build, and operate a cloud-native data platform using Kubernetes, Go, and hyperscaler clouds while mentoring junior engineers through code reviews and pairing.
Design, build and deploy scalable data solutions on a mature Databricks lakehouse platform for a Queensland utilities organisation, using SQL, Python, and PySpark.
Director leading a Data & AI practice—combining executive leadership, solution architecture, pre-sales consulting, and delivery oversight across AI/ML, Generative AI, analytics, and cloud platforms (AWS, Azure, GCP).
Senior Data Architect at a supply-chain SaaS platform, responsible for designing enterprise data models, building scalable ETL/ELT pipelines, and translating complex customer ERP data into canonical supply-chain datasets using SQL, Python, and cloud lakehouse technologies.
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