GCP Data Architect
Tredence · India
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Tredence · India
Role: GCP Data Architect Exp: 8+ Yrs Work Location: Bangalore, Hyderabad, Chennai, Pune, Gurugram, Kolkata Primary Roles and Responsibilities: • Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities • Develop and maintain data pipelines implementing ETL process, monitoring performance and advising any necessary infrastructure changes • Translate complex technical and functional requirements into detailed designs • Investigate and analyze alternative solutions to data storing, processing etc. to ensure most streamlined approaches are implemented • Serve as a mentor to junior staff by conducting technical training sessions and reviewing project outputs Skills and Qualifications: • Strong understanding of data warehousing and data modeling techniques. • Proficient understanding of distributed computing principles - Hadoop v2, MapReduce, HDFS • Strong data engineering skills on GCP cloud platforms Airflow, Cloud Composer, Data Fusion, Data Flow, Data Proc, Big Query • Experience with building stream-processing systems, using solutions such as Storm or Spark- Streaming • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala • Experience with Spark, SQL, and Linux. • Knowledge of various ETL techniques and frameworks, such as Flume, Apache NiFi, or DBT. • Experience with various messaging systems, such as Kafka or RabbitMQ. • Good understanding of Lambda Architecture, along with its advantages and drawbacks