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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.
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.
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.
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).
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.
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.
The AI Engineer will design and build AI solutions, manage data pipelines, and implement LLMOps and agentic workflows. The role involves creating backend services, ensuring system observability, and optimizing data platforms.
The Senior AI Data Engineer will build Agentic AI pipelines for trading surveillance, focusing on converting Q KDB code to Pyspark. The role involves developing RAG systems, managing vector databases, and implementing full-stack AI integrations.
Job Summary We are seeking a seasoned Senior Data Engineer to architect, enhance, and sustain our primary data infrastructure. In this role, you will be responsible for creating dependable pipelines, overseeing…
Builds and maintains data pipelines, warehouses, and reporting systems to support business analytics, marketing insights, and management decisions for a medical spa chain.
Builds and optimizes healthcare-focused data pipelines, databases, and AI/ML datasets using SQL Server/Azure SQL, Python, Databricks, and Spark to enable analytics and cloud-based solutions.
Owns and leads the end-to-end delivery of Westpac’s Azure-based data platform, modernizing data capabilities with Python pipelines, Snowflake, Databricks, and Synapse while ensuring scalability, security, and cost efficiency.
Core Technical Skills Strong Python programming experience Advanced SQL DBT development Google BigQuery PySpark Data engineering and ETL/ELT pipeline development Data validation and reconciliation Data migration…
Builds and maintains AI-powered full-stack web applications for First Solar’s digital transformation, integrating LLMs, ML models, and cloud-native architectures on Azure. Focuses on scalable data pipelines, cloud infrastructure, and cross-functional collaboration to deliver analytics and automation tools for business units.
The Solution Architect will lead the design and implementation of enterprise-scale data platforms on Azure using Databricks and Delta Lake. This role involves defining architecture standards, optimizing data pipelines, and collaborating with stakeholders to support advanced analytics and AI/ML initiatives within insurance business domains.
Senior Data Analyst on a 12-month FTC bridging business stakeholders and data engineering at MECCA, focused on building Tableau dashboards, DBT data models, and Snowflake-based reporting to drive data-driven decisions.
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