GCP Data Engineer
2 months ago
Designation: Data Engineer
Experience Level: 4-16 Years
Location: Mumbai/Bangalore/Trivandrum
Role & Responsibilities:
- In-depth knowledge and experience of GCP Data services : Bigquery / Dataproc / Composer / Pubsub / Dataflow / GCS/ BigTable
- Must have proficient experience in GCP Databases : Bigtable / Spanner / CloudSQL / AlloyDB
- Solid understanding of relational database concepts and technologies such as SQL, 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, or DynamoDB is a plus.
- Familiarity with database performance tuning, optimization, and troubleshooting techniques is a plus
- Strong working experience on one or more of the Big Data/Hadoop distributions (or ecosystems) like, Cloudera/Hortonworks, MapR, Azure HDInsight, IBM Open platform, Kafka, Hive, Spark etc.
- Good understanding of the following AWS Data services, Redshift, RDS, Athena or SQS/Kinesis
- Good understanding of Native and external tables, with different file formats : Avro, ORC, Parquet
- CI/CD pipelines for data workloads using Cloud Build, Artifact Registry, Terraform
- Data governance solutioning using GCP governance tooling (Dataplex, Data Catalog)
Skills required:
- GCP Dataflow, Pub/Sub, Cloud Composer, Cloud Workflow, BigQuery, Cloud Run, CloudBuild
- Must have: programming knowledge and willingness to be hands-on - Python, Java
- Specialization on streaming such as PubSub or Kafka or equivalent
Good to have:
- Experience in BigQuery or Presto or Equivalent
- Experience with open source ecosystem and distributions such as Hadoop, Spark, Cloudera/Hortonworks and frameworks and tech such as SPARK, Oozie, Kafka, HBASE
- Understanding and experience with NoSQL databases such as HBASE, MongoDB, Cassandra
- Knowledge of cloud databases such as Spanner, BigTable, Cloud SQL, DB migrations
- Good to have GCP Data engineering Certification
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