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Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi. Experience with cloud infrastructure services, such as AWS(S3, EMR, EC2, Glue, Athena, SQS, SNS) or GCP.
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Amazon Elastic MapReduce (EMR) is the industry-leading cloud big data platform for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, Presto and HBase.
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Required Skills: Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark. · Develop test maintain and document data pipelines using DBT Spark AWS Glue and Airflow.
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Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto. Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/Dynamo.
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Build modular set of data services using Python, SQL, AWS Glue, lambdas, API Gateway, Kafka, data build tool (dbt), Apache Spark on EMR among others. Knowledge of AWS technologies specifically MSK, EMR, Athena, Glue, lambdas, API Gateway as well as Python, SQL is a must.
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Working knowledge with primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc. Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus.
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Experience developing applications/utilities using Python, Java, or Scala leveraging tools like Presto, AWS Athena, Spark or AWS Glue. Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake.
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Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS. Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS.
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We are looking for a strong Data Engineer cum Architect, to create new modern data ingestion pipelines using latest technologies like AWS Athena, Lambdas, Python, Spark. SQL, Python, PySpark , S3, Lambda, EMR, Glue, Athena, EC2, IAM, Redshift, DMS, Airflow, Jenkins, Snowflake.
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Build big data processing pipelines using Spark and Airflow. A pioneer of the geo-location space, Foursquare's location tech stack is being utilized by our mobile apps CityGuide and Swarm, as well as the world's largest enterprises and most recognizable brands, like Amazon, Microsoft, Samsung, Spotify, Uber, Airbnb and others.
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Experience with AWS ecosystem (EMR, EC2, S3, RDS, Redshift, Aurora, Athena, RDS, PostgreSQL). Experience with NoSQL-based, SQL-like technologies (e.g., Hive, Pig, Spark SQL/Shark, Impala, BigQuery.
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Familiarity with AWS services such as Athena, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), SageMaker, QuickSight, Kinesis, OpenSearch, Deep Learning AMIs, Lake Formation. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Snowflake.
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Proficiency in one or more of the programming languages we use: Python, Java, or Clojure. Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
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Solid experience of AWS services such as CloudFormation, S3, Athena , Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. S3, Athena, Glue, Lambda, Step Functions, SQS, Redshift.
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Experience using one or more of AWS / Azure / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, Data bricks, Snowflake, HDInsights, SQL DW, DocumentDB, Glue, Athena, Elastic Pool etc.
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