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Proficiency in SQL and experience with data warehousing technologies such as Snowflake, Amazon Redshift, Google BigQuery, or similar. Experience with ETL/ELT processes, data integration, and data governance in a data warehouse environment.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working with at least one cloud based data warehousing platforms – Snowflake, AWS Redshift, Azure DW, Oracle Cloud, Google Big Query, or anything similar. We are looking for a Data Operations Manager – a specialist / expert in Retail data handling, ETL, Data Mining, Data Warehouse Design and Management, Scripting / Programming, Building efficient data pipelines, querying large volume of data to extract actionable analytical insights to join the Media/Advertising Analytics team within the Brand Partnership Universe, that is in the spotlight with focus to turn rich data into actionable insights.
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You have worked with data modeling, configured AB test experimentation, and have experience working in technologies like SQL, ETL, and technologies similar to Spark, Airflow, SQL, data warehousing, etc.
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You will work with data scientists, ML pipelines, data processing - automation, pipelines, quality, warehousing, governance, model deployments, experimentation configuration, and developing and deploying applications and services.
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Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda. Experience with Databricks, Reverse ETL. Ensure data quality and integrity throughout the ETL process.
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Advanced knowledge of data warehousing concepts around building custom ETL integrations, and building data infrastructure (SCD, CDC, Snapshots, indexing, partitioning) Own and operate our CDP and reverse ETL tools.
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Knowledge of ETL concepts and data warehousing procedures, knowledge of Apache Airflow. Looker or Tableau data visualization design and development. Experience with Python/R or other statistical programming language.
$106,875 - $118,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Competencies-Prior experience with cloud environments (AWS preferred), automation tools (Terraform or similar), container orchestration (Kubernetes preferred), build systems (Bazel preferred)-Familiarity with Linux and shell scripting-Working knowledge of Python, SQL, data warehousing, and ETL pipelines-Opinionated about CI/CD, monitoring, alerting, release processes-Detail oriented, gritty, and learns fast.
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Experience with RDBMS, Data Warehousing, and ETL systems and solutions, e.g. Oracle, Data Bicks, Snowflake, and respective public cloud service offerings from AWS, GCP, and Azure. Experience with RDBMS, Data Warehousing, and ETL systems and solutions, e.g. Oracle, Data Bicks, Snowflake, and respective public cloud service offerings from AWS, GCP, and Azure.
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8+ years experience with relational database and SQL skills with working knowledge of data warehousing concepts, including technical architecture, infrastructure components, ETL/ELT and reporting/analytic tools and environments such as Cosmos DB, Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, or Flume.
$158,500 - $304,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
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Understanding of ETL/ELT pipelines and Data Warehousing design, tooling, and support. ETL/BI: Airflow, dbt, Fivetran, Matillion, Looker, Tableau. Experience working with a cloud-based data warehousing and analytics stack (Airflow, dbt, Snowflake, AWS.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The team owns both the critical data infrastructures from log ingestion, batch & stream processing, big data query & workflow systems, and also the data processing & ETL pipelines for data warehousing and business intelligence.
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Working knowledge of Python, SQL, data warehousing, and ETL pipelines. Competencies Prior experience with cloud environments (AWS preferred), automation tools (Terraform or similar), container orchestration (Kubernetes preferred), build systems (Bazel preferred.
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Skills required Data warehousing Data pipeline AWS ETL Terraform. Experience using Github for CI/CD pipeline•Experience with using Airflow for scheduling and monitoring data workflows•Expertise in AWS services, particularly for data and analytics, and experience with Snowflake data warehousing.
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warehousing etl jobs in San Francisco, CA
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