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AWS data stack (E.g. S3, Redshift, Glue, Lambda) Prior Gas / Power trading experience desirable. Commodity trading experience (Gas / Power) AWS data stack (E.g. S3, Redshift, Glue, Lambda) Whilst being physically co-located with the trading teams, the engineer will be part of the global Data Science and Engineering Team who are responsible for the ingestion and management of market and fundamental data, as well as providing cloud-based infrastructure for the use of research analysts, traders and data scientists.
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Experience with cloud-based data platforms (e.g., AWS S3, Redshift, Google BigQuery). Experience with cloud-based data platforms (e.g., AWS S3, Redshift, Google BigQuery). As a mid-level Data Pipeline Engineer, you will play a crucial role in designing, building, and maintaining robust data pipelines for our customers.
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Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) 2+ years of experience in cloud ETL tools(Azure data factory, AWS glue) •2+ years in an Agile development environment.
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Demonstrates an understanding of concepts, best practices and functions to implement data lake and analytics services in AWS, including AWS Glue, AWS Sagemaker, AWS Redshift, S3, CloudFormation, Lambda, EC2, and EBS.
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Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.
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The Trafigura Group owns global multi-metals producer Nyrstar; fuel storage and distribution company Puma Energy; and joint ventures Impala Terminals, a port and logistics provider, and Nalo Renewables, investing in wind, solar and battery storage projects.
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Role: Sr AWS Data Engineer ( Airflow, Python and RedShift) Sr AWS Data Engineer with Airflow, Python and RedShift. About Data Affect: We are a boutique data/service management firm specializing in the delivery of data governance, enterprise data strategy, solutions architecture, data warehousing, data integrations, data security & privacy management, IT service management, business analysis (and) agile project management services to diverse clients across multiple industries.
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Strong proficiency in AWS Cloud services, including but not limited to S3, EC2, Lambda, Glue, and Redshift. Strong proficiency in AWS Cloud services, including but not limited to S3, EC2, Lambda, Glue, and Redshift.
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2+ years of data warehousing experience with technologies like Redshift, Databricks, Synapse, Snowflake. 2+ years of data warehousing experience with technologies like Redshift, Databricks, Synapse, Snowflake.
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Expertise in AWS data services (e.g., Amazon S3, Amazon Redshift, Amazon RDS) and cloud architecture principles. Ensure data governance, quality, and security measures are in place, aligning with compliance requirements such as FISMA, FedRAMP, and HIPAA.
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Strong Python knowledge Passion for developer experience and expertise in API design and usability Experience building and scaling large-scale analysis or machine learning tools Experience with modern data technologies (Postgres, Snowflake, Redshift, Airflow, dbt) Data visualization expertise (Plotly, Panel, Dash) Willingness to support and educate our researchers on best practices in software engineering Experience with a strongly typed or compiled language (e.g., Java, C.
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Experience with ElasticSearch, ElastiCache, PostgreSQL, Redis, S3, Redshift and Apache Kafka. Experience with ElasticSearch, ElastiCache, PostgreSQL, Redis, S3, Redshift and Apache Kafka. Additionally, the candidate will collaborate with design and product teams which includes client-facing delivery and implementation of the Casebook Platform for small non-profit organizations to large scale state and local government projects.
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Proficiency in designing and managing AWS services such as EC2, ECS, S3, RDS, Lambda, VPC, Redshift, AWS glue, DMS etc., Proficiency in designing and managing AWS services such as EC2, ECS, S3, RDS, Lambda, VPC, Redshift, AWS glue, DMS etc.
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Experience on AWS services like RDS, DynamoDB, Redshift or similar services within other cloud services. Whether that’s fully remote, in one of our offices, or hybrid. The ideal candidate will play a crucial role in engaging with clients, leading pre-sales discussions, and providing expert guidance in data engineering-related initiatives.
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Relational Databases: RDS/Postgres, Redshift/Postgres experience. Software Languages: Python (or similar backend OOP language), HTML, CSS, Javascript, (React optional), SQL, Bash experience. Demonstrated proficiency with the following technologies: Python (or similar backend OOP language), HTML, CSS, Javascript, SQL Databases, SQL language, AWS, Okta/SSO technologies.
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redshift job in Houston, TX
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