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Required Skills Technical Skills- ,MS SQL Server,Snowflake,PySpark,Databricks,AWS,ETL Tool - Talend Domain Skills- ,Property & Casualty Insurance. Seeking a highly skilled Technical Lead with 10-14 years of experience in Databricks, PySpark, Snowflake, AWS, MS SQL Server, and Talend.
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Talend, DataBricks, Python, Spark, Kafka. Talend, DataBricks, Python, Spark, Kafka. Information Delivery – Qlik Sense, MicroStrategy. Cloud Lake and Warehouse – Snowflake, S3 Data Lake, other comparable technologies.
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ETL/Data integration/Streaming - Talend, DataBricks, Python, Spark, Kafka. ETL/Data integration/Streaming - Talend, DataBricks, Python, Spark, Kafka. In addition, our Life Balance program provides access to professional counseling services, life coaching and other resources to support your daily life needs.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Certification(s) Required AWS CERTIFIED SOLUTIONS ARCHITECT. Must have domain expertise in Property & Casualty Insurance. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information.
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You will have an opportunity to work on the application service layer written in Spark and Scala running on EMR’s orchestrated by Python Lambdas, debug application and environment issues, and optimize compute utilization at Capital One.
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Successful candidates will not only demonstrate advanced knowledge of AWS, Databricks, Snowflake, Python, Spark APIs and Event Driven patterns – but have tangible experience with similar efforts to modernize legacy data & analytics platforms from on-premise to cloud.
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Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration. Qualifications & Key Skills:Bachelor’s degree5+ years in Snowflake in AWS and Talend Data Integrator or other BI/ETL tools.
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Experience with:ETL tools, primarily Talend or similar (Ab Initio, Informatica)SQL (medium to complex queries)AWS (s3, Lambda, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.) Experience with:ETL tools, primarily Talend or similar (Ab Initio, Informatica)SQL (medium to complex queries)AWS (s3, Lambda, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.
$121,000 - $199,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Perform complex application implementations using latest techniques and technologies such as AWS, Hadoop, Apache Spark, Python, SQL, etc. 4 + years implementing Big Data solutions Hadoop, Hive, Pig, Impala, Oozie, MapReduce, Apache Spark etc.
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Programming languages: SQL, SAS, R, Python, Spark, HiveQL. Visualization Platforms: MicroStrategy, QlikView, Qlik Sense, Power BI, Tableau, D3 Visualizations. Programming languages: SQL, SAS, R, Python, Spark, HiveQL.
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Experience with Cloud, Snowflake, Spark, Python, R, Azure Data Factory, Qlik, PowerBi or working with unstructured data is a plus. This includes the following cutting-edge technologies available in the cloud; Snowflake, Spark, Python, R and Azure Data Factory.
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3+ years of working experience in Apache Spark, PySpark, Apache Airflow. 3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra. 3+ years of working experience in Apache Spark, PySpark, Apache Airflow.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. e Apache Spark or Apache Storm or Celery.
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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.
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Data processing: (Spark, SQL Server, PostgreSql, Hadoop/Hive), 5+ years of experience in designing and building new scalable on-prem/cloud data engineering solutions using distributed frameworks like Spark, Hadoop etc.
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