Senior Data Engineer

3 weeks ago

Bangalore, Karnataka, India TecHHire Global Full time

Job Description :


We are looking for a Senior Data engineer-GCP who can design and build production data pipelines from ingestion to consumption within a big data architecture using Python, Scala, PySpark, Java implementing data engineering, ingestion, and curation functions on GCP :

  • Must be able to write quality code and build secure, highly available systems.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc with the guidance.
  • Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.
  • Monitoring performance and advising any necessary infrastructure changes.
  • Defining data retention policies.
  • Implementing the ETL process and optimal data pipeline architecture
  • Build analytic tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Create design documents that describe the functionality, capacity, architecture, and process.
  • Develop, test, and implement data solutions based on finalised design documents.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Proactively identify potential production issues and recommend and implement solutions

Requirements :

  • Should have at least 2 years of relevant experience as GCP Data Engineer
  • Educational Qualifications - Bachelor's/Master's
  • Good understanding of optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP big data' technologies
  • Strong in SQL and good understanding and experience in writing stored procedures
  • Good experience in GCP
  • Good experience in Hadoop, Big data
  • Proficient understanding of distributed computing principles
  • Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
  • Implemented complex projects dealing with the considerable data size (PB).
  • Optimisation techniques (performance, scalability, monitoring, etc.)
  • Experience with integration of data from multiple data sources preferably AWS
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.
  • Knowledge of various ETL techniques and frameworks, such as Flume
  • Experience with various messaging systems, such as Kafka or RabbitMQ
  • Good understanding of Lambda Architecture, along with its advantages and drawbacks
  • Creation of DAGs for data engineering
  • Expert at Python /Scala programming, especially for data engineering/ ETL purposes
(ref:hirist.tech)

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