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Data Engineer
3 weeks ago
Tik Tok San Jose, United StatesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us Creation is the core of Tik ...
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Data Engineer
3 weeks ago
RIT Solutions, Inc. San Jose, United StatesJob Description: · Responsibilities: · - Architect, develop, and maintain scalable data pipelines and ETL processes, facilitating the seamless flow of data across our ecosystem. · - Collaborate closely with cross-functional teams to gather requirements, identify data sources, ...
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Data Engineer
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Lead Data Engineer
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Data Engineer
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Data Engineer
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Data Engineer
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Senior Data Engineer
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Sr Data Science Engineer
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Data Engineer 4
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Senior Data Engineer
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Sr. Data Engineer
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Senior Data Engineer
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NVIDIA Santa Clara, United States Full timeAt NVIDIA, our employees are passionate about parallel and GPU computing. We're united in our quest to transform the way graphics are used for work and play. Are you passionate about creating ground-breaking software for creative and innovative customer experience? Do you thrive ...
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Data Engineer
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Data Engineer
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Data Engineer
3 weeks ago
LatentView San Jose, United StatesDetails: · About LatentView: · LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide 360-degree ...
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Data Engineer
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Siri InfoSolutions Inc San Jose, United StatesJob Description · Job DescriptionTitle: Data Engineer · Location: San Jose, CA (Onsite) · Duration: Long Term · Contract Role · Skill Set: · Python, Spark, AWS. · ...
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Sr Data Science Engineer
22 hours ago
Adobe San Jose, United StatesOur Company · Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful ...
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Sr Data Integration Engineer
3 weeks ago
Adobe San Jose, United StatesOur Company · Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful ...
Platform Data Engineer - San Jose, United States - Bayone
Description
Location:
San Francisco, Seattle, LA or PST
Enterprise Data Platform to enable timely, effective and safe sharing of data to multiple engineering, operations and business teams for building world class data products
Responsibilities
Build data ingestion and processing pipelines to enable data analytics and data science use-cases in areas of digital commerce, service operations, charging, reliability, finance, capex, warranty, customer service and others.
Build modular set of data services using Python, SQL, AWS Glue, lambdas, API Gateway, Kafka, data build tool (dbt), Apache Spark on EMR among othersBuild automated unit and integration testing pipelines using frameworks like PySpark
Create and manage CICD pipelines with Gitlab CI and AWS Code Pipeline/CodeDeploy
Automate and schedule jobs using Managed Airflow
Build the ODS and reporting schemas and load the data into AWS Redshift or Snowflake
Design and build data quality management services with Apache Deequ and data observability tools like Splunk, DataDog , CloudWatch
Provide a variety of query services with REST, Athena/Presto, server sent events
Configure and setup the enterprise data lineage and meta data management and data catalog support using tools like Collibra/Alation
Assist the data scientist within the data engineering team as well as other software engineering teams with data cleansing, wrangling and feature engineering
Ensure green builds for deployment and work with program management and senior leads to burn down planned deliverables in a sprint cycle
Qualifications
At least 5+ years building data and analytics platforms using AWS Cloud, Python and SQL
Knowledge of AWS technologies specifically MSK, EMR, Athena, Glue, lambdas, API Gateway as well as Python, SQL is a must
Knowledge of modern data tools like dbt (data build tool) and Airflow orchestration is highly desired
Ability to assist SQL analysts and Tableau developers in business teams in creating the right set of materialized views in a SQL data warehouse like Redshift/Snowflake
Knowledge of automation and CICD best practices
Familiarity with machine learning and data science ecosystems especially AWS Sagemaker and Databricks is highly preferred
Hands-on experience in building and maintaining production data applications, current experience in both relational and distributed columnar date stores.
Deep experience using SQL, Python, and SparkHands-on experience with Big-data technologies (e.g. Redshift, Athena, Glue, EMR, Kinesis, Step Function, or equivalent in other web services)Familiarity with timeseries database, data streaming applications, Kafka, Flink, and more is a plus
Familiarity with modern data science and product analytics tools and techniques such as R, Machine Learning, and advanced statistics is a plus.