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Overview Data and observability are central to engineering reliability at Atlassian. The Reliability Process Group (RPG) builds and manages the foundational data infrastructure, ingestion pipelines, and analytics…
Senior Data Architect at a supply-chain SaaS platform, responsible for designing enterprise data models, building scalable ETL/ELT pipelines, and translating complex customer ERP data into canonical supply-chain datasets using SQL, Python, and cloud lakehouse technologies.
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.
Lead Data Engineer building end-to-end data platforms using Medallion architecture, dbt, Python, and cloud services (AWS/GCP/Azure) for client engagements, with hands-on coding, architectural decisions, and mentoring responsibilities.
Tech Lead / SDE IV owning batch and real-time data pipelines for a programmatic advertising DSP, processing billions of bid-stream events daily with Kafka, Flink, StarRocks, and Python/Java/Scala, while also architecting backend microservices and mentoring engineers.
Lead Data Engineer architecting cloud-native data platforms (data lakes, lakehouses, warehouses) for PE portfolio companies, using tools like Databricks, Snowflake, Azure Synapse, dbt, and AI tooling to build AI-ready analytics infrastructure.
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.
Data Engineer building and scaling enterprise-grade data pipelines and streaming architectures using Scala, Apache Spark, SQL, Apache Kafka, and cloud platforms (GCP/AWS/Azure).
Senior Data Engineer building scalable GCP data pipelines end-to-end—from design through production support—using BigQuery, Python, SQL, Cloud Composer/Airflow, Dataflow/Apache Beam, and Dataform/dbt.
Build and maintain scalable data pipelines using Spark, Scala, Airflow, and Azure Databricks in a hybrid role based in Bengaluru. Work with modern data lakehouse technologies, containerization, and CI/CD practices.
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 designing and scaling Chargebee's data platform, building robust ETL/ELT pipelines and distributed systems with Apache Spark, Kafka, SQL, and Python/Java/Scala.
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.
Citibank, N.A. seeks an Applications Development Senior Manager for its Irving, Texas location. Duties: Design and implement advanced Generative AI (GENAI) strategies and solution architectures integrating traditional…
Job Family : Software Development & Support Travel Required : None Clearance Required : Ability to Obtain Public Trust AWS Lakehouse Data Engineer We are seeking an AWS Lakehouse Data Engineer to design, implement,…
About SailPoint SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into…
The Senior Data Platform Engineer will design and build a governed data platform using PostgreSQL, Kafka, and Debezium to facilitate reliable data sharing across product, analytics, and AI/ML teams. This role focuses on creating developer-friendly tools, GitOps workflows, and metadata management to standardize data publishing and consumption.
The Senior Data Platform Engineer & Cloud Architect will design and operate enterprise-scale AWS data platforms, focusing on automation, CI/CD, and cloud infrastructure. This role involves leading technical initiatives, mentoring teams, and bridging architectural strategy with hands-on engineering using tools like Terraform, Airflow, and Python.
The Data Engineer Supervisor designs and maintains robust data pipelines and infrastructure to ensure data integrity and scalability. The role requires expertise in data lakehouse technologies like Snowflake, Databricks, and Apache Spark.
About Our Client Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
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