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Cognizant
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Developer

Developer

Cognizant

3 - 7 years

15 - 25 Lacs

chennai

Posted:17 hours ago| Platform:

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Skills Required

continuous integration beam ci/cd data pipeline sql cloud git data modeling data science gcp optimization devops data ingestion bigquery programming pubsub cd python github performance tuning machine learning cloud platform cloud storage gitlab performance optimization

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary

We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing building and maintaining scalable data infrastructure that drives business intelligence advanced analytics and machine learning initiatives. You must be comfortable working autonomously navigating complex challenges and driving projects to successful completion in a dynamic cloud environment.

Responsibilities

Design and Optimization: Design implement and optimize clean well-structured and performant analytical datasets to support high-volume reporting business analysis and data science model development.
Pipeline Development: Architect build and maintain scalable and robust data pipelines for diverse applications including business intelligence advanced analytics
Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.
Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Required Skills & Experience

Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments with a strong preference for Google Cloud Platform (GCP) services specifically:

BigQuery: Expert-level skills in data ingestion performance optimization and data modeling within a petabyte-scale environment.

Experience with other relevant GCP services like Cloud Storage Cloud Dataflow/Beam or Pub/Sub

Python: Expert-level programming proficiency in Python including experience with relevant data engineering libraries
SQL: A solid command of advanced SQL for complex querying data processing and performance tuning.
Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g. Apache Airflow Cloud Composer Airflow Dagster or similar).
DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g. GitLab GitHub Actions) to automate deployment and testing processes.

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