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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.
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.
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).
Design, build and deploy scalable data solutions on a mature Databricks lakehouse platform for a Queensland utilities organisation, using SQL, Python, and PySpark.
Lead Data Engineer designing and building scalable real-time and batch data platforms for supply chain workflows using Python, SQL, PySpark, and container orchestration tools.
Palantir Foundry Data Engineer building scalable data pipelines, Ontology models, Workshop apps, and Quiver dashboards using Python, PySpark, and SQL.
A Databricks Data Engineer role involving hands-on data engineering with Apache Spark, Databricks, Python/Scala, ETL pipelines, data warehousing, and cloud services (AWS/Azure) for large datasets.
Build and maintain data pipelines, storage (including vector databases), and a metrics layer to power AI agents for customer support data, using big data tools, Python/PySpark, and cloud data warehouses.
GCP Data Engineer building scalable batch and real-time data pipelines on Google Cloud Platform, supporting AI/ML and analytics use cases with BigQuery, Dataflow, Python, and SQL.
Senior Data Engineer building and supporting enterprise data infrastructure using PySpark, AWS (Glue, Lambda, S3, Redshift), and Apache Airflow, with production operations and team mentorship responsibilities.
GCP Data Engineer at TCS Chennai responsible for developing, deploying, monitoring, and optimizing batch ETL workflows using Scala, PySpark, Airflow, BigQuery, and Dataproc on GCP with Medallion architecture experience.
Design and develop data pipelines and architectures using AWS, Databricks, PySpark, Kafka, and Airflow, working with SQL/NoSQL databases, shell scripting, and data integration techniques in complex, deadline-driven projects.
Azure Data Engineer role at TCS in Bengaluru, working with Databricks, PySpark, Azure Data Factory, ADLS, and DevOps.
An Azure Fabric Data Engineer role focusing on building data solutions using Azure Databricks, Data Factory, PySpark, and SQLDB, requiring DP-203 and Databricks certifications.
Big Data Engineer responsible for developing and optimizing queries using Hadoop, HIVE, PySpark, and Spark SQL within a big data ecosystem.
GCP Data Engineer building scalable, AI-ready data pipelines and cloud-native data solutions on Google Cloud Platform, collaborating with enterprise architects and analytics teams on large-scale data modernization initiatives.
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