Google Data Engineer

7 days ago

Bengaluru, Karnataka, India CGI Full time

Position Description:


Minimum experience : 8-15 yearsIn-depth knowledge and experience of GCP Data services : Bigquery / Dataproc /Composer / Pubsub / Dataflow / GCS/ BigTableMust have proficient experience in GCP Databases : Bigtable / Spanner / CloudSQL /AlloyDB○ Solid understanding of relational database concepts and technologies such asSQL, MySQL, PostgreSQL, or Oracle.○ Hands-on experience with other cloud platforms and services such as AWS RDS,or Azure SQL Database.○ Experience with NoSQL databases such as MongoDB, Scylla, Cassandra, orDynamoDB is a plus.

○ Familiarity with database performance tuning, optimization, andtroubleshooting techniques is a plusStrong working experience on one or more of the Bigdata/Hadoop distributions(orecosystems) like, Cloudera/Hortonworks, MapR, Azure HDInsight, IBM Open platform,Kafka, Hive, Spark etcGood understanding of the following AWS Data services, Redshift, RDS, Athena orSQS/KinesisGood understanding of Native and external tables, with different file formats : Avro,ORC, ParquetCI/CD pipelines for data workloads using Cloud Build, Artifact Registry, TerraformData governance solutioning using GCP governance tooling (Dataplex, Data Catalog)

Must haveGCP Dataflow, Pub/Sub, Cloud Composer, Cloud Workflow, BigQuery, Cloud Run,CloudBuildMust have:
programming knowledge and willingness to be hands-on - Python, JavaSpecialization on streaming such as PubSub or Kafka or equivalentGood to HaveExperience in BigQuery or Presto or EquivalentExperience with open source ecosystem and distributions such as Hadoop, Spark,Cloudera/Hortonworks and frameworks and tech such as SPARK, Oozie, Kafka, HBASEUnderstanding and experience with NoSQL databases such as HBASE, MongoDB,Cassandra,Knowledge of cloud databases such as Spanner, BigTable, Cloud SQL, DB migrationsCertificationGood to have GCP Data engineering

Skills:
Apache KafkaApache SparkData MigrationGoogle Cloud PlatformHadoop Ecosystem (HDFS)KubernetesPython

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