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Proven experience with Azure, Databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. Job description Infosys is seeking an Azure Databricks Developer with strong Data Engineering background.
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Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka, HBase, Hive, etc. The Big Data Developer will be responsible for data engineering, ETL processes, big data management, data warehousing, and software development tasks.
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We are hiring an experienced Big Data Engineer with a strong focus on GCP to join our team in Phoenix, AZ. The ideal candidate will have extensive experience in Hadoop, Spark (Batch/Streaming), Hive, and Shell scripting and solid programming skills in Java or Scala.
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big Data /Hadoop , SPARK , Python , Strong SQL. Maintain security and data privacy, working closely with data protection officer. Role :Big Data Developer. Big Data /Hadoop , SPARK , Python , Strong SQL.
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Exposure in Big Data Technologies and scripting, Hadoop, HDFS, Hbase, Hive, Shell, JavaScript, ElasticSearch, Logstash, Kibana, Redis, MongoDB, NoSQL DB2; will be an added advantage. Exposure in Big Data Technologies and scripting, Hadoop, HDFS, Hbase, Hive, Shell, JavaScript, ElasticSearch, Logstash, Kibana, Redis, MongoDB, NoSQL DB2; will be an added advantage.
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You will work closely with cross-functional teams to design, implement, and optimize data processing and analytics systems utilizing Hadoop, Spark, and other big data technologies. Job Title: Big Data Engineer Job Location: Phoenix, AZ Job Type: Contract Job Description: iSoftTek Solutions Inc is seeking a talented Big Data Engineer to join our team.
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A good understanding of Big Data as well as a background in various NoSQL/non-relational systems and tools such as MapReduce, sharding, distributed caching, Memcache etc, along with the ability to discuss some of the leading tools such as Hadoop/HBase, Cassandra, Redis, Azure IoT Hub, Data Lakes, Stream Processing, etc.
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Knowledge of Big Data architectures and tools (e.g., Hadoop, Spark, Cloudera, AWS stack) Familiarity with Business Intelligence tools (e.g., Cognos, PowerBI, Qlik, Microsoft SSRS) Experience working with various database technologies (Oracle, SQL Server, Teradata, MongoDB, Amazon Aurora, etc.
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Experience migrating data from legacy systems using tools like Hadoop, Exadata, Oracle Teradata, or Netezza. Minimum of 3 years of building and operationalizing large-scale enterprise data solutions using one or more third-party resources such as Pyspark, Talend, Matellion, Informatica or native utilities as Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache, Beam Composer, Big Table, Cloud BigQuery, Cloud PubSub etc.
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1 year of experience with Big Data tools, including Apache, Hadoop, Hive, and Spark distributed framework. Member of the engineering or delivery and integration team reporting to a Senior Engineer, Staff Engineer, Engineering Director.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, or Kafka. Data Warehousing: Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
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Solid understanding of business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related). Solid understanding of business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related.
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Advanced proficiency with cloud analytical tools: Snowflake, Redshift, Hadoop, Spark, Kafka, etc. Transfer for sFTP, S3, Lambda, Secrets Manager, and Route 53 Lead ETL/ELT processes which include the development, refinement, and implementation of data loading and processing tools, including Snowflake, Airflow, Python, SQL, dbt, and shell scripts.
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Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo-spatial tools and others to perform analysis and interpret data. In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
$132,440 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago
hadoop job in Phoenix, AZ
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