... backend systems. Collaborate with infra teams to improve performance, scalability, and reliability. Requirements - 3-5 years of hands-on experience in backend engineering. - Strong fundamentals in Data Structures, Algorithms, and OOP concepts. - Solid understanding of concurrency, multithreading, and asynchronous systems. ...
... business teams to develop custom tools that improve productivity and bring greater automation and consistency to G&A operations across Apple. We are a part of the Engineering Operations team for G&A Solutions Engineering (GSE). This role is primarily responsible for building and managing tools that enable software releases in ...
... data pipelines using Kafka, RabbitMQ, and SQS Apply best practices in rate limiting, security, performance optimisation, logging, and observability (Grafana, Datadog, CloudWatch) Deploy services in cloud environments (AWS preferred, Azure/GCP acceptable) using Docker, Kubernetes, and EKS Contribute to CI/CD and Infrastructure ...
... America, using experimentation and data-driven insights to improve conversion and user engagement. You'll partner closely with Product, UX, Analytics, and Engineering teams while making sound technical decisions independently in a fast-paced environment. Our engineering team is experienced and self-sustaining, so we're ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Large Language Models (LLMs) ...
... management, consulting, and technical leadership skills. Preferred Qualifications: - AWS certifications such as AWS Certified Solutions Architect – Professional and AWS Certified Data Analytics/Data Engineer are highly desirable. - Experience with modern data platform technologies including Databricks, Snowflake, Apache Airflow, ...
... MySQL, data warehouses, ETL tools, Git, Docker, and cloud platforms such as AWS, Azure, or Google Cloud. Requirements - Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field - 0-2 years of experience in data engineering or a relevant internship - Strong SQL skills - Basic proficiency ...
... (Kubernetes, Docker) Good understanding of databases, NoSQL systems, storage and distributed persistence technologies. Good understanding of Linux Knowledge of OCI or AWS, Azure, GCP, Public Cloud SaaS, PaaS Services and/or related technology is a plus Experience with Cloud Engineering Infrastructure Development (like Terraform) ...
... including event-driven designs. - Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). - Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. - Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, ...
... and handling rich UX behaviors Implement caching/data processing using solutions like Spring Cache to improve performance and scalability Design and optimize databases and queries for Oracle and PostgreSQL (CTEs/window functions, indexing, execution plan tuning) Deploy, scale, and monitor workloads on AWS (e.g., Integrate ...
... preparing reports, managing files, storing data, and keeping records organized and updated for easy retrieval and understanding. - 3+ years of overall experience in data engineering or related fields. - 2+ years of experience building data pipelines for structured and unstructured data. - 1+ years of experience with big data technologies ...
Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...
... : - 10+ years of experience in Software or Data Engineering with large-scale, high-traffic, fault-tolerant systems.- Deep experience with semantic modeling, data lakehouse, and data product development.- Expert-level SQL and Python skills.- Experience with modern data platform technologies : Snowflake, ClickHouse, or similar ...