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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 / Data Scientist building data pipelines, ML models, and production ML solutions using Python, PySpark, SQL, Databricks, and MLflow at an IT consulting firm in Bhopal.
Data Engineer designing, developing, and maintaining scalable ETL/ELT pipelines, data warehouses, and data lakes using SQL, Python, and Big Data technologies (Spark, Databricks) on Azure/cloud platforms for an Azure-focused managed services company.
Data Engineer on a hybrid contract in Chennai building and optimizing ETL/ELT pipelines from OLTP systems, writing performance-tuned SQL, and working with Amazon Redshift and BI tools.
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.
Senior Data Engineer building enterprise-scale data integration and cloud data platforms using Informatica IICS, Google BigQuery, and SQL, balancing hands-on development with technical leadership.
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.
Data Engineer designing and building AWS-based data migration pipelines (S3, Glue, Redshift, Lambda) to move legacy CRM data into Salesforce, working from the Hyderabad office.
Designs, develops, and manages cloud-based data integration pipelines using Fivetran. Works with SQL, cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse), and dbt to deliver reliable data for reporting and analytics.
Lead Data Engineer designing and building scalable batch and real-time data pipelines using Scala, Apache Spark, SQL, Kafka, and cloud platforms (AWS/Azure/GCP).
Data Engineer designing and building data pipelines, ETL/ELT processes, and data models using Azure Data Factory, SQL, and big data technologies to support analytics and business insights.
Hands-on Data Engineer II building and maintaining scalable data pipelines on GCP, working with BigQuery, SQL, Python, Dataform/dbt, Cloud Composer/Airflow, and Dataflow/Apache Beam in a hybrid role based in Gurgaon.
Data Engineer designing, building, and operating ingestion, transformation, and Lakehouse pipelines on Databricks and Azure for Masco's enterprise POS and commercial data.
Build and maintain scalable ETL/ELT data pipelines and optimize data infrastructure using Python, SQL, and big data technologies like Spark, Kafka, and cloud data warehouses.
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.
Design, build, and operate scalable batch and real-time ETL/ELT data pipelines on Google Cloud Platform using BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Python.
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.
Snowflake Data Engineer building end-to-end ETL/ELT pipelines using Snowflake, DBT, Python, and Apache Airflow in Hyderabad.
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.
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