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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.
Snowflake Data Engineer building end-to-end ETL/ELT pipelines using Snowflake, DBT, Python, and Apache Airflow in Hyderabad.
Lead Data Engineer in a Databricks-focused Centre of Excellence, building POCs and solutions across Manufacturing, Retail, and BFSI verticals using Databricks, Mosaic AI, and Genie.
AWS Data Engineer building and optimizing scalable data pipelines and cloud data solutions using AWS Glue, S3, Redshift, Lambda, Python, SQL, and PySpark in Chennai.
Lead Data Engineer designing and building scalable data infrastructure and ETL/ELT pipelines for clients, leveraging cloud platforms (AWS/Azure/GCP), Apache Spark, Python, and SQL.
Lead Data Engineer responsible for data cleanup, de-duplication, entity resolution, and establishing a governed single-source-of-truth datalake for a government beneficiary registry, using SQL, Python, and AI-assisted profiling.
Data Engineer (DBT) at Accel Digital Ad Operations working on AdTech platforms, data pipelines, and integrations. Responsibilities include developing DBT models, designing REST APIs, and optimizing ETL/ELT processes while working in US EST shift in Pune.
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.
Data Engineer building scalable data pipelines for NLP and LLM applications using Python, Apache Spark, and vector databases at an AI product company.
AWS Data Engineer designing, developing, and maintaining scalable cloud-native data engineering solutions on AWS. Builds ETL/ELT pipelines and modern data platforms using AWS Glue, S3, Redshift, Lambda, PySpark, Python, and Snowflake for global insurance clients.
Azure Data Engineer on a 6-month contract building and maintaining scalable data pipelines using Azure Data Factory, Databricks, and Synapse, implementing Medallion architecture and ingesting data from enterprise/ERP systems.
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.
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).
Data Engineer role focused on GCP, building data pipelines using BigQuery, Dataflow, Dataproc, and Cloud Composer with Big Data and Apache Spark.
Data Engineer designing and maintaining scalable data pipelines and ETL workflows for AI-driven cybersecurity and analytics platforms, primarily using Python and Elasticsearch.
Hands-on Data Engineer II building scalable batch and incremental data pipelines on GCP using BigQuery, SQL, Dataform/dbt, Cloud Composer/Airflow, and Dataflow/Apache Beam, with a focus on reusable data-platform components.
Experienced Data Engineer joining a regulatory banking data squad to design, develop, and maintain Spark-based ETL pipelines (batch and streaming) on a Cloudera/Hadoop environment, with 3 days on-site in Vannes.
Data Engineer/BI & ETL Developer building ELT pipelines, data transformation models, and modernizing legacy data architectures for an Italian ICT system integrator. Core tech: SQL, ETL/ELT, Data Modeling.
Senior Data Engineer owning and evolving an Azure Databricks lakehouse platform, building ETL/ELT pipelines with SQL and Python, and leading a small team of Data Engineers for a large NZ organisation.
Senior Software Engineer leading architecture and building cloud-native data ingestion, domain services, and customer-facing APIs on AWS for an AI-driven data platform.
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