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Data Science Engineer 3

Data Science Engineer 3

Adobe

5 - 9 years

0 Lacs

karnataka

Posted:2 days ago| Platform: Shine logo

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Skills Required

data engineering hadoop hive presto spark kafka sql python scala numpy github jenkins logstash kibana graph databases neo4j linear regression classification clustering data science engineering cloud based technologies databricks s3 azure blob storage aws emr kinesis pyspark pandas koalas cicd tools apache air flow azkaban elastic stack elastic neptune ml algorithms keras tensor flow pytorch xgboost random forest mlflow

Work Mode

On-site

Job Type

Full Time

Job Description

As an individual contributor at Adobe, you will have the opportunity to leverage your expertise in data science engineering to drive growth and optimize customer experiences through personalization. The Customer Analytics & GTM team is dedicated to utilizing data to deliver exceptional experiences, and this role plays a crucial part in driving data engineering for large-scale initiatives across various strategic projects. In this role, you will be responsible for building fault-tolerant, scalable data pipelines using cloud-based tools, developing analytical capabilities using cutting-edge technologies, and optimizing data pipelines through innovative solutions. You will work on end-to-end data pipelines to run machine learning models in a production platform and contribute to data engineering and data science frameworks, tools, and processes. The ideal candidate will possess a Bachelor's degree in computer science or equivalent, along with 5-8 years of proven experience as a data engineer. You should have expertise in distributed data technologies like Hadoop, Hive, Presto, and Spark, as well as experience with cloud-based technologies such as Databricks, S3, Azure Blob Storage, and AWS EMR. Proficiency in streaming data ingestion and transformation using Kafka, Kinesis, and outstanding SQL skills are essential for this role. Additionally, hands-on experience in Python/PySpark/Scala, familiarity with CI/CD tools and open-source orchestration tools, and excellent communication skills for collaboration with data scientists and machine learning engineers are required. Knowledge of Elastic Stack, Graph Databases, and ML algorithms & frameworks is highly desirable. If you are passionate about contributing to the open-source community, have experience with data governance tools, collaboration tools, or Adobe tools, it would be considered a plus. This role offers a high visibility opportunity to work on critical missions and collaborate with global teams to deliver exceptional results in a collaborative environment. Join Adobe for an exciting career where you can make a significant impact, enjoy the best benefits, and maintain outstanding work-life balance. Apply now and become a part of a team that values innovation, collaboration, and empowerment to drive transformative digital experiences.,

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Data Science Engineer 3