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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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Relevant certifications (e.g., ITIL, AWS DevOps Engineer, Microsoft Certified: Power Platform Developer Associate, Microsoft Certified: Power BI Data Analyst Associate) will be a plus. Knowledge in big data and streaming data pipeline architecture (Lambda/Kappa) and K8 cluster.
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We are expanding our Data Engineering toolset and need an experienced AWS, Python and SQL Data Engineer. About the job Data Engineer - AWS. This role will be required to design and implement our new data pipelines using AWS, and train other team members.
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Certifications related to cloud technologies, such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Cloud Certified Professional Cloud Architect. F5 certifications like BIG-IP Certified Professional (ACP) or BIG-IP Certified Specialist (BCS.
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This individual will also be responsible for creating awareness of AHEAD's world class services that integrate with our key partners, AWS, Microsoft, Harness, GitHub, Palo Alto Networks, RedHat, Wiz, and Databricks, while working closely with current and prospective customers to determine how AHEAD can best serve their app and data modernization initiatives.
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Hands-on experience in Palantir & PySpark to build data pipes in AWS environments. Use Pyspark to build data pipes in AWS environments. Total 10+ years of experience with 3 plus years of experience in data engineering/ETL ecosystems with Palantir Foundry , Python , PySpark and Java.
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Strong skills in Big Data technologies (Hadoop, Spark, Hive) and AWS services (S3, EMR, Lambda, Redshift, CloudFormation). We're looking for an expert in data architecture, operations, and modeling, with strong experience in integrating advertising platforms and ecosystems, including DSPs, DMPs, Ad-Servers, Ad Hubs, and CDPs. Proficiency in Marketing Automation platforms like Marketo, and a deep understanding of Customer Data Platforms (CDPs),AWS, Snowflake are essential.
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Proven experience with big data technologies (e.g., Apache Spark, Apache Flink, Apache Kafka) and cloud-based data platforms (e.g., AWS, Google Cloud, Azure). Strong knowledge of SQL and NoSQL databases, data lake solutions (e.g., Apache Iceberg, Big Query), and ETL processes.
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Any knowledge of the Palantir Foundry Platform will be a big plus. Job Title : Data Engineer (Palantir) Envisions and constructs infrastructure that facilitates access and analysis of vast datasets while ensuring data quality and metadata accuracy through systematic cataloging.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Proficiency in designing and optimizing data pipelines using ETL/ELT frameworks and tools (e.g., Informatica, Apache Spark, Airflow, AWS Glue). Familiarity with cloud-based data platforms and services (e.g., Snowflake, AWS, Google Cloud, Azure.
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Autodesk Forge development and data integration experience is a big plus. Experienced in building SaaS solutions with agile principles and a strong background in cloud infrastructure technologies (i.e. Microservices Architecture, RESTful APIs, AWS, Kubernetes, Kafka, RDS, NoSQL.
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Big data technologies/services expertise (Delta Lake, Lakehouse, Medallion, Spark, Python, Kinesis, S3, Glue, EMR, Airflow, Step Functions, Redshift, Athena, Lambda, ML) AWS preferred.
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Experience with using real-time and Big Data analytic processing technologies (Kafka, time series database and Presto/Trino, Spark SQL, etc) You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale.
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At least 2 years of experience in big data technologies. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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big data aws jobs Company: Acensi in Dallas, PR, France
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