Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
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.
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.
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.
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.
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).
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.
Elevate and drive innovation, data engineering solutions, and serve as a decision maker for Firmwide HR and Employee Experience data products. As a Senior Lead Software Engineering at JPMorgan Chase within the Employee…
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…
Build and maintain scalable data pipelines, Python services, and cloud-native data products in a DevOps/DataOps model, applying software engineering best practices to deliver reliable, reusable data solutions for analytics and business needs.
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.
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…
Senior ML Engineer building production ML systems on Databricks, Snowflake, and AWS for identity resolution, audience targeting, and content personalization at Warner Bros. Discovery's Data & Audience Platform team in Hyderabad.
Hands-on Technical Lead Architect (70% building, 30% strategy) for Eli Lilly's Clinical Supply & Delivery platforms — designing agentic AI-enabled architecture, containerized services, cloud infrastructure, and data pipelines on AWS using Python, React, Kafka, Spark, and Kubernetes for clinical trial material delivery.
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 IC role architecting and building production-grade ML, generative AI, and agentic AI systems (LLMs, RAG, SLMs) with MLOps practices for commercial pharma use cases in Bangalore.
The Sr. Principal Machine Learning Engineer will architect and deploy production-grade AI systems, including LLMs, RAG, and agentic workflows, to support pharmaceutical commercial and field engagement use cases. The role involves leading technical design, implementing MLOps/LLMOps practices, and mentoring teams while ensuring scalability, governance, and performance.
We couldn't check your fit for this role — add a CV to your profile to see it next time.