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Cloud Database Administrator & DevOps Engineer
Maintains and automates Oracle, PostgreSQL, and MongoDB databases while implementing DevOps and Unix/Linux best practices to reduce downtime and support application teams.
DevOps Engineer
Build and maintain CI/CD pipelines, containerize apps with Docker/Kubernetes, and manage cloud infrastructure to modernize legacy systems and ensure reliable deployments.
Enterprise Data Product - Data Engineer
Builds and maintains global data pipelines and datalake infrastructure using Python, Spark, Databricks, and Azure services to ensure reliable, high-quality data for analytics.
Data Engineer- EDLAP
Build and maintain a global data lake and pipelines using Python, Spark, Databricks, and Azure services to ensure reliable, high-quality data processing and analytics.
Data Engineer-Enterprise Data Product
Builds and maintains global data pipelines and lakes using Python, Spark, and Azure tools to ensure reliable, high-quality data for analytics and operations.
Java and Python Developer
Builds and maintains a cloud-native data platform in Java/Python that governs, distributes, and tracks financial datasets across the firm.
Kubernetes Platform Support Engineer
Czym będziesz się zajmować? Project Join an engineering team responsible for supporting and maintaining an internal Kubernetes platform used by multiple development teams. You will focus on ensuring the platform…
Senior SRE Lead – Kubernetes
Czym będziesz się zajmować? Project Join a global Site Reliability Engineering team responsible for ensuring the reliability, availability, and performance of an enterprise Kubernetes platform. You will work on…
Lead Data Engineer (AWS / PLSQL / PL/PGSQL)
Lead the design and optimization of scalable data platforms on AWS (Redshift, Glue, S3, Lambda) using PL/SQL and PL/pgSQL, while mentoring engineers and driving enterprise data initiatives.
Lead Data Engineer
Lead a team to migrate legacy Oracle data logic to Amazon Redshift, redesigning procedural SQL into set-based, parallelized workflows orchestrated with Airflow for a scalable data warehouse.
Principal Data Engineer – AWS Redshift & Data Platforms
Principal Data Engineer builds and optimizes cloud data pipelines on Amazon Redshift and AWS, using Python, SQL, and Apache Airflow to deliver scalable analytics and high-performance warehousing.
Senior Data Engineer (AWS / PLSQL / Oracle)
Senior Data Engineer builds and maintains AWS-based data pipelines, writes optimized SQL/PLSQL/PLpgSQL queries, and supports Redshift/Oracle/PostgreSQL systems for scalable analytics.
Senior Data Engineer (AWS / PLSQL / Oracle)
Senior Data Engineer builds and maintains AWS-based data pipelines using Redshift, Oracle PL/SQL, and PostgreSQL, optimizing queries and ETL workflows for scalable analytics.
Lead Data Engineer (AWS / PLSQL / PL/PGSQL)
Lead the design and optimization of AWS-based data pipelines and Redshift warehouses, writing complex PL/SQL and PL/pgSQL procedures to migrate and transform enterprise data.
Senior Data Engineer - Lakehouse Migration & Spark
Build and migrate data pipelines from Hadoop to a modern lakehouse using Spark 3 and Iceberg, ensuring reliable reporting and analytics for core business needs.
Lead Data Engineer (AWS / PLSQL / PL/PGSQL)
Lead the design and optimization of scalable data platforms on AWS, building ETL pipelines and warehouses using Redshift, Oracle PL/SQL, and PostgreSQL PL/pgSQL.
Senior Lakehouse Migration Data Engineer
Design and build production pipelines to migrate a legacy Hadoop warehouse to a modern lakehouse using Spark, Iceberg, and Airflow for core analytics.
Data Engineer
Build and migrate data pipelines for a large-scale lakehouse platform, moving legacy Hadoop workloads to Spark 3/Iceberg and optimizing complex SQL queries.
DevOps – Cloud Engineer
Design, deploy, and maintain cloud infrastructure (AWS/Azure/GCP) and automate it with Terraform/Ansible, ensuring high availability, security, and cost efficiency.
Junior Software Developer
Junior developer builds and maintains CI/CD pipelines, automates deployments with IaC, and supports cloud infrastructure using tools like GitHub Actions, Terraform, and AWS/Azure/GCP.