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Proficient with querying and manipulating big datasets on AWS Athena, BigQuery, and MySQL. Hands on experience with ETL automation. Professional experience in using Python/R for data analysis of structured and unstructured data.
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Experience in technologies such as Hadoop, Spark, Kafka, Redis, Cassandra, Pandas, Dask, Airflow, Apache Beam, MongoDb, Hive, Impala, Hazelcast, Athena, Presto. Experience in at least one modern programming language such as Python, Java, Go, Rust, and proficiency in SQL.
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Proven in-depth experience in creating ETL pipelines using Databricks, Spark, Python, SQL, Scala, Kafka, Presto, Parquet, Streaming, events, bots, AWS/cloud ecosystem. Knowledge of Cloud solutions like Kendra, SageMaker, Auto-ML, Big Query, RedShift, Glue, Athena.
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Knowledge of AWS technologies specifically MSK, EMR, Athena, Glue, lambdas, API Gateway as well as Python, SQL is a must. Deep experience using SQL, Python, and SparkHands-on experience with Big-data technologies (e.g. Redshift, Athena, Glue, EMR, Kinesis, Step Function, or equivalent in other web services.
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Hands on experience with AWS /EMR, S3, Glue, Athena and Kubernetes Infrastructure. Ability to code well in at least one language (Shell, Ruby, Python, Java, Perl) Expertise in designing, implementing and administering large Hadoop clusters and related Infrastructure such as Hive, Spark, HDFS, HBase, Oozie, Presto, Flume, Airflow and Zookeeper.
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Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue). Experience in building low-latency, high-availability data stores for use in real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL.Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.
$230,000 - $250,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in operations and automation of cloud (AWS) - based Python/Django web applications with a strong data component. Supporting big data infrastructure is built around S3 for storage, Lambda for ingest, AWS Batch for modeling and AWS Athena for querying.
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Samsung TV Plus is an industry-leading FAST (free ad-supported TV) and VOD (video-on-demand) service reaching 24 countries and millions of devices globally across TV and mobile. Professional experience with SQL and data visualization tools (Tableau, Power BI, etc.
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5+ years experience coding in Python, Typescript, CDK. Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders.
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Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch. Experience with modern advanced analytical tools and programming languages such as Python, R, or some other scripting language.
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Excellent knowledge of database concepts - Defining schemas, relational table structures, SQL querying Proficient with AWS Big data services (Glue, Athena, Redshift, Lake formation, Lambda) Proficient in writing Python code for data pipelines, AWS CDK and data processing logic.
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Experience with AWS cloud services: EC2, EMR, Athena. Need 8Yrs of experience and Hands on programing experience in any one or more programing languages like Java, Scala or Python. Experience with AWS cloud services: EC2, EMR, Athena.
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Strong experience designing and developing cloud ELT and data pipelines with AWS, Python, SQL, Athena. Strong experience designing and developing cloud ELT and data pipelines with AWS, Python, SQL, Athena.
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Primary Skills: SQL, Qlik, Python, AWS Redshift, Athena, Proficiency in either Python or R. Primary Skills: SQL, Qlik, Python, AWS Redshift, Athena, Excellent knowledge of Qlik and SQL, with at least 2 years of experience in Tableau and Qlik.
$78Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AWS Services like S3, Glue, Athena, EMR, Lambda, RDS, AppFlow, Kendra, Quick Sight. AWS Services like S3, Glue, Athena, EMR, Lambda, RDS, AppFlow, Kendra, Quick Sight. Experience in Big data (Hadoop, Spark, Kafka, etc.
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