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Manages and evolves enterprise Hadoop platforms (Cloudera) with operational tasks, system support, automation, and security for large-scale environments.
Engineer and operate large-scale Hadoop/Cloudera clusters, maintaining HDFS, YARN, Spark and Kafka for enterprise data platforms.
Develops AI models and data pipelines using Python, Spark, and cloud platforms for clients in an outsource setting.
Engineer and maintain enterprise Hadoop platforms (Cloudera) for banking and insurance clients, handling operations, automation, and security.
Maintain and evolve large-scale Hadoop clusters (Cloudera) for enterprise clients, automate operations with Ansible, and support Spark/Hive/Kafka pipelines in banking/insurance projects.
Design and build distributed data pipelines and modern data platforms (Microsoft Fabric/Databricks) to integrate and model data for analytics and reporting.
Data Engineer builds and optimizes distributed data pipelines and applications using Java, Spark, Hadoop, and cloud tools in a full-remote role.
Designs and builds cloud-native ETL pipelines on Databricks and Azure using Spark and Hadoop to ensure high-quality, high-performance data flows.
Build and optimize ETL pipelines and data processing workflows using Python, Spark, and SQL databases for clients across industries.
Designs, builds, and optimizes distributed data pipelines using Hadoop, Spark, Java, and Docker for high-throughput data projects.
Designs and builds scalable data pipelines and systems, mentors junior engineers, and works with Hadoop, Spark, and Docker in a hybrid/remote role.
Designs and builds scalable big-data systems using Hadoop, Spark, Java/Scala, and cloud-native tech, while mentoring engineers and optimizing performance.
Senior Data Engineer builds and optimizes scalable data pipelines and systems using Hadoop, Spark, Java, and Scala, while mentoring peers and leading technical designs for data-intensive applications.
Leads Big Data projects for a finance client, designing scalable pipelines and architectures using Cloudera/Databricks, Spark, Kafka, and Python/Java/Scala.
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.
Designs and builds modern data platforms and big-data pipelines on Google Cloud Platform using Python, PySpark, and Terraform, following Medallion Architecture and data-governance best practices.
Designs and builds scalable data pipelines using Hadoop, Spark, and Python to process large datasets for clients across industries.
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Senior Data Engineer designs and builds scalable ETL/ELT pipelines and distributed data architectures (cloud, on-prem, or hybrid) using Python, PySpark, and SQL for modern data platforms.
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