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Good to have to big data technologies Apache Spark, Kafka, Delta Lake. Title: Data Engineer. Data warehousing concepts. Good to have to big data technologies Apache Spark, Kafka, Delta Lake.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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At Dematic, we are gearing up to revolutionize our data landscape by building a cutting-edge Enterprise Data Lakehouse Platform. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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Exhibit strong proficiency and hands-on involvement with Cloud-based Big Data technologies, including AWS EMR, Apache Spark, Databricks, AWS Redshift, Snowflake, and S3. The primary responsibility of this role is to engineer a best-in-class enterprise data pipelines and solutions with cutting-edge technologies guided by principles of Agility, DevSecOps, and continuous innovation.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in architecting, designing, and building end to end data platforms using Databricks. 10+ years of experience for senior, and 15+ for principal, of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering.
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Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault / AWS Secrets Manager, Docker / OpenShift / Open Cloud Foundry, MongoDB, Docker, BlackDuck, SonarQube.
$138,100 - $227,800Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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7+ years of experience with tools like Kafka and Spark, Snowflake. Experience in designing and developing data pipelines, include ingestion, standardization, metadata management, business rule curation, data enhancement, and statistical computation against data sources that include relational, XML, JSON, streaming, REST API, and unstructured data.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of Extract/Transform/Load (ETL) or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases) Data Engineer (Bigdata, Azure Databricks.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Kafka streaming implementations and functions necessary for storing legacy data sets and streaming analytics solutions. We are seeking a skilled Software Engineer with experience in design and development of infrastructure using Java, Spring Framework modules, Spring boot, Micro Services, AWS, Kafka, Docker, cloud-based java applications, JSP, Hibernate, Web services (soap and Rest), Maven, Unit Testing (JUnit), MySQL, Oracle, Jenkins, code quality tool Sonar.
ExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 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.
$7 - $11ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years experience with Distributed data computing tools (Kafka, Spark, Flink etc) 2+ years of data warehousing experience (Redshift or Snowflake) Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (e.g. Flink, Spark Streaming, etc.
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Knowledge of data serialization formats commonly used with Kafka (e.g., Avro, Protobuf). Experience with cloud-based Kafka offerings (e.g., AWS MSK, Confluent Cloud, Azure Event Hubs.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Some Technologies we use and teach AWS, Azure Kafka Python, Java, C#, others Docker Kubernetes Argo CD Backstage (equivalent) RESTful APIs, graphQL GitHub, GitHub Actions Terraform Anything that moves us forward The base pay range represents the anticipated low and high end of the pay range for this position.
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