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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Proficiency in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Corvus is seeking a Senior Data Engineer who will work alongside Product, Data Science and Engineering to build out and sustain a modern data platform that serves data analytics as a product to our internal stakeholders - Underwriting, Actuary, Sales, Claims, and Finance.
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Experience leading product teams that leverage a similar tech stack to us would be a big plus: Apache Spark Column-oriented SQL data warehouses such as Snowflake or Redshift Workflow orchestration tools such as Apache Airflow Machine learning frameworks ETL tools such as Pentaho or AWS Data Pipelines AWS devops tools and techniques.
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Publicis Sapient is looking for a Manager/ Architect Data Engineering- AWS Cloud to join our team of bright thinkers and doers. Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
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Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval. Data Engineering & Backend Proficiency: 7+ years of experience as a Big Data Engineer or Backend Engineer, demonstrating a strong understanding of data systems design and development.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP) and associated data services (e.g. Redshift, Data Factory, BigQuery) Deep understanding of data engineering principles and best practices, including data modeling, ETL/ELT processes, data warehousing, and data governance.
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Experience in Data warehousing solutions (Snowflake, AWS Redshift) is a plus. Technical expert in DevOps and reliability engineering skilled at YAML pipeline creation, strong experience with AWS and AWS Code Deploy, hands on experience with GitHub Actions, Static Code Analysis, Kubernetes, AMIs, Ansible.
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Our forward-thinking Data Engineering team is looking for a contract ETL Engineer with extensive AWS skills. Strong ETL skills with some of the following: AWS tools- Lambda, Kinesis, Data Pipeline, and EMR and/or third-party tools like Airflow or Informatica.
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Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity.
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Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake.
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Experience with Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms. An advanced degree (MS or PhD) in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative field.
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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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redshift data engineering jobs in Boston, MA
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