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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. 5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena.
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Solid understanding of various Data Management and Data Pipeline tools available in AWS.Working knowledge with primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc.
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry.
$75,600 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). 2+ years of professional data engineering experience. Being a domain expert on data modeling, data pipelines, data quality and data warehousing of financial data.
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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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1- 3-years minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
$55 - $78 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services. Big Data Technologies: Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Snowflake). Familiarity with AWS services such as Athena, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), SageMaker, QuickSight, Kinesis, OpenSearch, Deep Learning AMIs, Lake Formation.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Knowledge of AWS cloud services, cloud architecture best practices, big data technologies and ETL processes within the AWS ecosystem. AWS Certified Solutions Architect or Databricks Certified Data Engineer Associate Certifications.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data aws remote jobs Title: developer senior ruby
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