HiringSign Consulting | Hiring | Senior Data Engineer – Google Cloud Platform | BigDataKB.com | 2022-09-16

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Job Location: Pune, Trivandrum/Thiruvananthapuram

Senior Data Engineer

Skills Required

Expertise in at least one of the following domain areas:

– Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batchstreaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like PubSub, Kafka and RabbitMQ.

– Data warehouse modernization: building complete data warehouse solutions, including technical architectures, starsnowflake schema designs, infrastructure components, ETLELT pipelines and reportinganalytic tools. Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive).

– Data migration: migrating data stores to reliable and scalable cloud-based stores, including strategies for minimizing downtime. May involve conversion between relational and NoSQL data stores, or vice versa.

– Backup, restore & disaster recovery: building production-grade data backup and restore, and disaster recovery solutions. Up to petabytes in scale.

– Experience writing software in one or more languages such as Python, Java, Scala, or Go

– Experience building production-grade data solutions (relational and NoSQL)

– Experience with systems monitoringalerting, capacity planning, and performance tuning

– Experience in technical consulting or other customer-facing roles

Preferred Skills :

– Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, PubSub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc)

– Experience with IoT architectures and building real-time data streaming pipelines

– Applied experience operationalizing machine learning models on large datasets

– Knowledge and understanding of industry trends and new technologies and ability to apply trends to architectural needs

– Demonstrated leadership and self-direction – a willingness to teach others and learn new techniques

– Demonstrated skills in selecting the right statistical tools given a data analysis problem

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