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Stay current with technology trends and developments in the industry Big Data Ecosystem like Cloudera( CDP/CDH) and ETL Application monitoring knowledge. SRE Lead - Data Engineer.
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10+ Yrs of Experience & minimum 4+ Yrs of development experience in Big Data related projects. " Practical knowledge of Big Data frameworks. Title: Data Engineer with Hadoop, Kafka, Java, Scala, Python, SQL.
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Big Data: Spark, Scala, Pyspark, HDFS. Role: Data Engineer. Diverse Lynx LLC is an Equal Employment Opportunity employer. Development focused on client/server, web-based applications, and data warehouse design using logical/ physical data modeling, T-SQL, PL/SQL, SQL, SSIS, SSRS, PL/SQL, and performance tuning with some DBA activities such as backup, recovery, and troubleshooting, and maintenance.
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Deploy and optimize machine learning solutions on massive datasets using big data technologies. Independently own and lead a product segment or area of research in Data Science divisions.
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Role: Big Data Engineer. Data-processing constructs like Joins, MapReduce. AWS: Working knowledge on Lambda, EC2, ECS, EMR, Athena, S3. Role: Big Data Engineer. Bigdata: 5-6 years of Hands-on experience in Hadoop / Spark (Scala or Python), Hbase, Hive, Sqoop.
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Using Cloud (AWS or GCP), Hands-on with Big Data and related technologies including. We are looking for a highly capable Data Engineer who has experience in building end-to-end systems.
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Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table. 8 + years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies.
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Big Data Engineer with ETL - Big Data / Data Warehousing "Expert in SQL and Data warehousing concepts. Job Profile : Big Data Engineer with GCP Certified.
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Data Engineer: Big Data; ETL - Big Data / Data Warehousing; GCP; Hadoop / HDFS; Hive; PySpark; Python. 3 to 7 years of experience within Data Engineering/ Data Warehousing using Big Data.
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Familiarity with Big Data technologies & platforms such as Spark, Kafka, Hive, Airflow, GCP. 5+ years experience in back-end development and/or big data management and solutions.
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O Big Data: Spark, Scala, Pyspark, HDFS. o Microsoft Stack: T-SQL, DBA, SSIS, SSRS, PowerShell. o Oracle Database: PL/SQL, Shell Scripting, Exadata. o Big Data: Spark, Scala, Pyspark, HDFS.
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Big data consultant. Good Knowledge on Basic Big Data - Hive, Sql etc. Big data consultant. Basic Cloud skills in at least one environment - AWS or GCP or Azure ( Azure preferable.
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Title: Azure Data Engineer. Delta Tables in Databricks for data storage. Data security (encrypt/decrypt) implementation experience. Experience in data warehouse / data lake.
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Consulting with data management teams to get a big-picture idea of the company’s data storage needs. AWS/Python/pyspark Data Engineer. Designing and coding the data warehousing system to desired company specifications.
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Big Data Technologies: Familiarity with big data technologies like Hadoop, Hive, and Spark. AWS Data Engineer. Data Governance and Security: Ensure data quality, governance, and security best practices.
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big job Title: data engineer Company: Diverse Lynx
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