Tech jobs
Job listings
Senior Hadoop & Big Data Engineer — Hybrid, Bonus
Senior Hadoop & Big Data Engineer builds and maintains Hadoop-based data platforms for a fintech company, using Hive, Spark, Python, and Java in agile teams.
DevOps Consultant - Databricks
Build and maintain secure, scalable Databricks data platforms on AWS, automating ELT/ETL pipelines with PySpark, Spark, Kafka and CI/CD to deliver reliable data products.
Senior Software Engineer - Hadoop Infrastructure
Build and maintain Bloomberg’s Hadoop-based data infrastructure to support low-latency, high-volume financial data storage and retrieval for global markets.
Databricks Unified Data Analytics Platform Engineer- Cebu
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, then expose clean data to BI tools and GenAI datasets.
Databricks Unified Data Analytics Platform Engineer
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, ensuring data quality and enabling secure analytics and GenAI-ready datasets.
Digital OSS Data Platform Engineer
Designs and maintains data pipelines and warehouses for a telecom company, using Python/Java and distributed systems like Hadoop/Flink.
Digital OSS Data Platform Engineer
Designs and maintains data pipelines and warehouses for a telecom company, using Python/Java and distributed systems like Hadoop/Flink.
*reputed company Full Stack Data Engineer – Web & reputed company Application Development at ar[...]
Build and maintain data warehouses, ETL pipelines, and data models for a media company using SQL, Python, Java, Hadoop, and cloud databases.
Data Platform Engineer: Build Scalable Pipelines & Infra
Designs and maintains scalable data pipelines and infrastructure for a telco provider, collaborating on architecture decisions and platform roadmaps; core techs: Python/Java, Hadoop, Flink, Airflow/Dagster.
Senior Data Engineer
Designs and builds scalable data pipelines and reusable components using AWS, Spark, and Python to enable data democratization in a Data Mesh architecture.
Senior Data Engineer
Build and operate large-scale enterprise data pipelines using Spark, Kafka, and lakehouse architectures, migrating legacy systems and ensuring data quality in a highly governed environment.
Staff Data Scientist
A Staff Data Scientist at Slack (owned by Salesforce) partners with GTM teams to drive growth via advanced analytics, experimentation, and predictive modeling, focusing on customer behavior, sales performance, and AI-powered decision-making.
Senior Big Data Engineer
Design and build scalable big-data pipelines using Apache Spark (Scala/Python), Azure Databricks and Hive to process large datasets for enterprise clients.
Site Reliability Engineer III (Data Platform)
You’ll ensure the reliability of Guidewire’s large-scale data platform on AWS, managing Kafka, Spark, and Kubernetes to support AI and analytics workloads while improving automation and incident response.
Data Engineer
Design and maintain large-scale data pipelines using PySpark, Hadoop, and Azure services to process and transform semiconductor manufacturing data.
Data Engineer: Azure Spark Pipelines, Flexible Hours
Design and build scalable data pipelines on Azure using PySpark, SQL, Airflow, and Kafka to deliver high-quality data products for Bosch’s large-scale platform.
Data Engineer III
Builds and maintains scalable finance data pipelines on GCP (BigQuery, Dataflow, Pub/Sub) to power reporting, FP&A, and analytics for McDonald's India, ensuring data reliability and governance.
Senior Data Engineer (Snowflake, dbt, IBM Streamsets) – 12 Months Fixed Term Contract
Build and maintain scalable data pipelines and models for financial crime detection using Snowflake, dbt, IBM Streamsets, and AWS services to support AML/CTF and sanctions compliance.
Service Owner - Data Platform Engineering
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.
Data Engineer (SSE / Staff Engineer) - Python & Spark & AWS
Design and build scalable data pipelines and analytics infrastructure using Python, Spark, and AWS for large-scale data processing and real-time streaming.