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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
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Of GCP with Airflow, Dataflow, Composer, Big Query. Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc. of GCP with Airflow, Dataflow, Composer, Big Query.
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Expertise in designing, implementing and operating data engineering platforms and scalable web services, including schema management, transport (Kafka, SQS), warehousing and storage (AWS Redshift, AuroraDB, MySQL, Postgres), processing (streaming and batch ETL/ELT pipelines, Kinesis, Airflow, Spring batch), analytics (Spark, Hadoop, BigQuery, Databricks, Snowflake), and business intelligence reports (Tableau, QuickSight.
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Snowflake platform, AWS cloud platform, Apache Airflow. The ideal candidate will play a critical role in supporting and optimizing our AKS-based platform running ETL workloads on Airflow.
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High level of proficiency with modern orchestration platforms such as Airflow. Experience with Cloud data warehouses like BigQuery, Snowflake, Redshift preferred. System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia.
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Develop ETL processes and data processing workflows for diverse projects by using the latest technology stack, which encompasses tools like Snowflake, Fivetran, dbt, Apache Spark, and more. Develop ETL processes and data processing workflows for diverse projects by using the latest technology stack, which encompasses tools like Snowflake, Fivetran, dbt, Apache Spark, and more.
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Experience with ETL, data pipelines, and workflow management tools such as Stitch, Fivetran, or Airflow. Experience architecting and using massively parallel processing technology, such as Google Bigquery, Snowflake, Redshift, etc.
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Strong understanding of streaming (e.g. Kafka, Kinesis) and batch (e.g. Airflow, AWS Glue) data transport technologies. Experience in cloud data warehousing (e.g. Redshift, Snowflake) and enterprise data lake (Databricks) technology.
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Develop Integration processes and data processing workflows using tools like Snowflake, Fivetran, dbt, Apache Spark, and more. Develop Integration processes and data processing workflows using tools like Snowflake, Fivetran, dbt, Apache Spark, and more.
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Working knowledge of Python, Java, Pyspark, Airflow. Demonstrated experience of working with Marketing tools like Marekto, Salesforce Marketing Cloud, Adobe Campaigns, AEM, etc. Autodesk is looking for an accomplished Technical Engineer in Marketing Technology to work hybrid/remote on our Marketing Engineering Team, reporting to the Director of Engineering.
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1+ years of experience with workflow management tools (Airflow, Oozie, Azkaban, UC4). Experience with Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet.
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Knowledge of Machine Learning Concepts like NLP, ranking, recommendations, or classification algorithms. Strong CS Fundamentals using Python & SQL. Familiarity with the AWS Environment (EC2, S3, Lambda, Glue, Canvas, etc.
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Proficiency with ETL tools such as Airflow, Informatica, SSIS, or Talend. Proficiency with ETL tools such as Airflow, Informatica, SSIS, or Talend. Familiarity with Snowflake is a plus. A financial firm is looking for an ETL Developer.
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Experience working with the following: AWS, GCP, Python, SQL, Terraform, Pyspark (Big Data) and Airflow. Experience working with the following: AWS, GCP, Python, SQL, Terraform, Pyspark (Big Data) and Airflow.
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Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
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