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    Lead Data Architect - Mumbai, India - Quantiphi

    Quantiphi
    Quantiphi Mumbai, India

    Found in: Talent IN 2A C2 - 1 day ago

    Default job background
    Technology / Internet
    Description

    Overall Experience: 8-15 years

    Role: Data Engineer

    Location: Bangalore/Mumbai/Trivandrum (Hybrid)

    Role Description & Requirements:

    • 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 Bigdata/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)

    Tools and languages experience Required:

    Must have

    • 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 Certification
    • Good to have GCP Data engineering
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