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.
Data Analyst/Data Engineer designing analytics architecture, managing databases, writing SQL queries, and automating Power BI reports for stakeholders.
GCP Data Engineer building scalable batch and real-time data pipelines on Google Cloud Platform, supporting AI/ML and analytics use cases with BigQuery, Dataflow, Python, and SQL.
Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on GCP using DBT, Terraform, SQL, and large-scale processing frameworks like Spark/Beam/Hive.
GCP Data Engineer building scalable, AI-ready data pipelines and cloud-native data solutions on Google Cloud Platform, collaborating with enterprise architects and analytics teams on large-scale data modernization initiatives.
Hands-on Solutions Architect role designing and building enterprise-grade data platforms on GCP/AWS using Snowflake, Databricks, BigQuery, Airflow, and Kafka to power AI/ML initiatives, with pre-sales responsibilities at a tech consultancy in Bangalore.
Data Analyst/Data Engineer Intern building and maintaining SQL/Python data pipelines on AWS (RDS, Redshift), creating Frappe/ERPNext operational dashboards, and handling REST API integrations — all on-site in Gurugram.
Lead enterprise data platform and analytics initiatives with a focus on Azure Data Factory, Databricks, PySpark, and GenAI/Azure OpenAI solutions, while providing technical leadership and mentoring.
Lead Data Engineer overseeing enterprise-scale ETL and data modernization projects, architecting pipelines with Python, PySpark, Informatica, Databricks, Snowflake, ADF, and AWS Glue while mentoring a team of data engineers.
Data Engineer building and optimizing Big Data pipelines with PySpark, Apache Spark, Airflow, and Python, including Spark performance tuning and CI/CD integration on cloud platforms (GCP preferred).
GCP Data Engineer on an EST hybrid shift in Noida, designing data warehouse solutions, building ETL/ELT pipelines, and developing BI reporting for a US-based media client.
GCP Data Engineer responsible for designing, building, and maintaining scalable data pipelines, data warehouses, and big data solutions on Google Cloud using Dataflow, BigQuery, Cloud Composer, and related GCP services.
Architect and build dimensional and Lakehouse data models, plus robust ETL/ELT pipelines, using Databricks or Snowflake, PySpark, SQL, and Azure/AWS cloud services.
Azure Data Engineer building ETL/ELT pipelines and data warehousing solutions using Azure Databricks, Data Factory, Synapse Analytics, and Spark technologies.
Lead Data Engineer at IndusInd Bank in Mumbai, architecting and building a cloud-native Azure Databricks data platform with PySpark, leading a team of data engineers and analysts to deliver scalable lakehouse architectures and BI solutions.
Senior Data Engineer lead building complex ETL/ELT solutions on Azure Data Lake, Databricks, and ADF using SQL, PySpark/Scala, with Kafka-based real-time and batch ingestion at scale.
Senior Data Engineer at Milo.ai building a data platform for AI agents—pipeline infrastructure, semantic models, and DAG-based orchestration—using Python, dbt, Dagster/Airflow, and columnar storage engines like ClickHouse/DuckDB. On-site in London with visa and relocation sponsorship.
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.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.