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Digital Impetus

Lead Cloud & Big Data Architect

Digital Impetus
Chennai, India
9-11 Years
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  • Posted 24 days ago
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Job Description

Primary Skills : GCP, Bigdata

Seondary Skills : Python/Spark

Job Description

  • Architect and implement enterprise-grade data migration solutions using Java and Python, enabling seamless data transfers from on-premises to GCP (Cloud Storage, BigQuery, Pub/Sub) using Apache Airflow and Google Cloud Composer.
  • Build secure, scalable, and optimized data architectures leveraging GCP services such as Cloud Storage, Pub/Sub, Dataproc, Dataflow, and BigQuery.
  • Design and implement automated frameworks for data delivery, monitoring, and troubleshooting.
  • Develop data observability frameworks to ensure quality, lineage, and reliability across pipelines.
  • Proactively monitor system performance, identify bottlenecks, and optimize pipelines for efficiency, scalability, and cost.
  • Troubleshoot and resolve complex technical issues in distributed systems and cloud environments.
  • Drive best practices in documentation of tools, architecture, processes, and solutions.
  • Mentor junior engineers, conduct design/code reviews, and influence engineering standards.
  • Collaborate with cross-functional teams to enable AI/ML and GenAI-driven use cases on LUMI.

Minimum Qualifications

  • 9+ years of experience in data engineering, software engineering, or platform development.
  • Strong programming expertise in Java, Python, and Shell scripting.
  • Advanced knowledge of SQL, data modeling, and performance optimization.
  • Deep expertise in Google Cloud Platform services: Cloud Storage, BigQuery, Pub/Sub, Dataproc, Dataflow.
  • Strong background in RDBMS (Oracle, Postgres, MySQL) and exposure to NoSQL DBs (Cassandra, MongoDB, or similar).
  • Proven track record in CI/CD pipelines, Git workflows, and Agile development.
  • Demonstrated experience in building and scaling production-grade data pipelines.
  • Strong problem-solving and troubleshooting skills in distributed and cloud-native systems.

pyspark, GCP, spark, sql

Primary Skills : GCP, Bigdata

Seondary Skills : Python/Spark

Preferred Qualifications

  • Hands-on experience with DevOps best practices, automation, and infrastructure as code.
  • Exposure to platform engineering (networking, security, IAM, firewalls).
  • Experience designing and implementing data observability frameworks (monitoring, lineage, anomaly detection).
  • Hands-on or exposure to GenAI integrations (LLMs, RAG, AI-driven data engineering workflows).

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

About Company

Digital Impetus

Job ID: 148221391

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Last Updated: 25-05-2026 07:37:28 PM
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