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Designs, builds, and supports data solutions for reporting, analytics, and business decisions using AWS cloud platforms, SQL, Python, and ETL/ELT processes to ensure data accuracy and security.
Design and develop real-time data pipelines and scalable data processing solutions on AWS using Kafka, Spark, and AWS Kinesis.
The Senior Data Solutions and Cloud Architect/Engineer will design and manage scalable cloud-based data environments on Azure to support advanced analytics and business decision-making. The role involves leading technical teams, building data pipelines, and ensuring compliance with security and GxP standards within a MedTech environment.
Senior Data Engineer designing and building data pipelines, data warehouses, and ETL/ELT processes on Azure, using SQL, Python, Spark, and tools like Data Factory, Databricks, and dbt.
Senior Data Engineer building data products and BI/analytics solutions for a real-estate investment manager, using Snowflake, SQL, dbt, and ETL tools in an Agile team.
Senior Data Engineer designing and maintaining real-time and batch data pipelines for SMC Global Securities' financial services and trading platforms, using SQL, Python, AWS (S3, Redshift, Athena, Glue, EMR, Lambda), Airflow, DBT, and Spark within Data Lakehouse architectures.
Design, build, and maintain the analytics data layer—pipelines (Airflow), warehouse (BigQuery), and ETL—on GCP, applying software engineering best practices to deliver BI solutions.
Senior Data Engineer building real-time data ingestion/processing pipelines and large-scale enterprise data solutions using PySpark, Python, Airflow, SQL, and AWS big data services.
Lead Azure Databricks Engineer designing, building, and optimizing scalable ETL/ELT data pipelines using Azure Databricks, PySpark, SQL, and Python on the Azure platform.
Support and improve the Databricks enterprise platform and ETL pipelines through automation, monitoring, and AI-driven initiatives, using Python, Spark/PySpark, SQL, and AWS services in a hybrid SRE-focused role.
Lead and hands-on build data & analytics solutions using Databricks, Informatica, and Tableau on AWS for Eisai's global pharmaceutical data platform, driving BI, AI, and data democratization.
Senior Data Engineer building and maintaining data pipelines, data warehouses, and BI dashboards primarily on Azure and Microsoft Fabric using SQL, Python, and PySpark.
Senior Data Engineer designing and maintaining enterprise-scale data ingestion and integration solutions using Microsoft Fabric, Azure Data Services, SQL Server, and ETL/ELT pipelines.
Build and optimize enterprise data integration pipelines using Informatica IDMC (CDI/CAI), SQL, Python, and Unix/Linux scripting in an offshore delivery environment.
Senior Data Engineer building scalable cloud data pipelines and modernizing enterprise data platforms using Python, SQL, and cloud services (Azure/AWS/GCP) with tools like Databricks, Snowflake, and Spark.
Hands-on Technical Lead / Senior Data Engineer leading an offshore BAU Data Engineering team, maintaining and improving GCP data pipelines with a focus on BigQuery, Cloud Composer/Airflow, Python, and SQL production support.
Azure Data Engineer role at TCS Noida involving data ingestion, transformation, storage, warehousing, and modeling using Azure cloud services like Data Factory, Databricks, Synapse Analytics, and Python/PySpark.
Design, develop, and maintain scalable data pipelines and architectures using Azure Data Factory, Databricks, Snowflake, Denodo, Python, and SQL to deliver data for reporting and insights.
Lead Data Engineer/Data Architect designing and implementing enterprise-scale cloud data platforms (Azure, AWS, or GCP), including data lakes, lakehouses, and warehouses using Python, SQL, and tools like Databricks, Snowflake, or Spark.
Senior Data Engineer designing and building cloud-native data platforms (Snowflake, Databricks, BigQuery, etc.) with ELT/ETL pipelines, CI/CD, and AI-ready infrastructure for a financial consulting firm serving private equity portfolio companies.
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