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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. Familiarity with AWS Services (Redshift, RDS, EKS, S3, EMR, Glue, Lambda.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You are technically engaged with your team and their projects, not only guiding career growth and delivery efforts of the team, but establishing standard processes, driving quality, and encouraging reliability and governance standards Anticipate working with Python, SQL, Redshift, Airflow, and integrating data in AWS. You will also oversee developing new and enhancing existing data infrastructures along with aiding in scaling the company.
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Previous experience in building data pipelines using technologies such as Airflow, DBT, Redshift, Athena/Presto, Firehose, Spark, SQL databases or similar technologies is highly desirable.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Implementation experience of two or more of Modern data platforms (AWS/Azure Synapse/Redshift/Snowflake, Databricks, Redshift, Big Query,) required. Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt.
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1+ Managing a cloud-based data environment that has complex platform integration and orchestration using tools like AWS, Airflow, Talend, RedShift, or similar. Experience with common data languages (e.g., Python, Scala) and data warehouses (e.g., Redshift, BigQuery, Snowflake, Databricks.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake. Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform. ELT (Bigquery, dbt, Airflow, Kafka) Extensive experience with Bigquery or similar cloud warehouses (Snowflake, Redshift.
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Provision, configure, and manage cloud database instances on various platforms, including Snowflake, Redshift, AWS (RDS, Aurora), GCP (Cloud SQL), and Azure (SQL Database, Cosmos DB). In this role, you will be responsible for the administration, maintenance, and optimization of our cloud-based databases on various platforms, including Snowflake, Redshift, AWS, GCP, and Azure.
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Proven experience with at least three of the following cloud platforms: Snowflake, Redshift, AWS, GCP, or Azure. Ability to manage and diagnose Data & ETL – Dagster, Airflow, other ETL technologies.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Our Technological Stack includes Airflow, DBT, Python, Snowflake, AWS, GCP, Amplitude, Fivetran, and more. Experience with data warehouse solutions (like BigQuery/ Redshift/ Snowflake) Experience developing data pipelines with Airflow or equivalent code-based orchestration software.
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Design and implement scalable and reliable data pipelines within AWS cloud environments, leveraging technologies such as Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, DataStage, or Informatica.
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Advanced working SQL knowledge and experience working with Cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.
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Strong experience with data warehousing (e.g. Snowflake (preferred), Redshift, BigQuery, or similar) Expertise in at least one flavor of SQL. (We use Amazon Redshift, MySQL, Athena and Snowflake.
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SQL, Python, PySpark , S3, Lambda, EMR, Glue, Athena, EC2, IAM, Redshift, DMS, Airflow, Jenkins, Snowflake. Migrate data from traditional relational database systems to AWS relational databases such as Amazon RDS, Aurora, and Redshift.
ExpandApply NowActive JobUpdated 4 days ago
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