LatentView Analytics | Data Engineer

3 days ago

chennai, India LatentView Analytics Full time

Job Summary:

We are seeking a GCP Data Architect with experience in data modeling and building data pipelines. The ideal candidate should have hands-on experience with GCP services such as Composer, GCS, GBQ, Dataflow, Dataproc, and Pub/Sub. Additionally, the candidate should have a proven track record in designing data solutions, covering everything from data integration to end-to-end storage in bigquery.


Responsibilities:

  • Collaborate with Client's Data Architect: Work closely with client data architects and technical teams to design and develop customized data solutions that meet business requirements.
  • Design Data Flows: Architect and implement data flows that ensure seamless data movement from source systems to target systems, facilitating real-time or batch data ingestion, processing, and transformation.
  • Data Integration & ETL Processes: Design and manage ETL processes, ensuring the efficient integration of diverse data sources and high-quality data pipelines.
  • Build Data Products in GBQ: Work on building data products using Google BigQuery (GBQ), designing data models and ensuring data is structured and optimized for analysis.
  • Stakeholder Interaction: Regularly engage with business stakeholders to gather data requirements and translate them into technical specifications, building solutions that align with business needs.
  • Ensure Data Quality & Security: Implement best practices in data governance, security, and compliance for both storage and processing of sensitive data.
  • Continuous Improvement: Evaluate and recommend new technologies and tools to improve data architecture, performance, and scalability.

Skills and Experience Required:

  • 7 to 10 years of experience in Data Architecture, with a strong focus on cloud platforms like GCP.
  • Expertise in Google Cloud Platform (GCP) services including Composer, GCS, GBQ, Dataflow, Dataproc, and Pub/Sub.
  • In-depth experience in data modeling, designing schemas, and ensuring efficient data structures in GBQ.
  • Strong experience with ETL processes and data integration.
  • Knowledge of data governance tools such as Collibra and experience with managing metadata and data lineage.
  • Experience with building and optimizing data pipelines in cloud environments.
  • Proficiency in designing and implementing data products that support business intelligence, reporting, and analytics.
  • Ability to work closely with both business and technical teams, understanding requirements and translating them into effective solutions.
  • Strong problem-solving skills, analytical thinking, and attention to detail.

Desirable Skills:

  • Familiarity with Ascend or similar workflow orchestration tools.
  • Experience in cloud security practices and knowledge of data privacy regulations.

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