Data Engineer

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Job Description: Data Engineer

Key Responsibilities

  • Design develop and maintain robust scalable and efficient ETL/ELT pipelines using DBT and AWS Redshift.
  • Build and manage workflows using Argo pipelines.
  • Collaborate with data analysts data scientists and business stakeholders to understand data requirements and deliver high-quality data solutions.
  • Optimize and tune Redshift queries for large-scale datasets to ensure performance and efficiency.
  • Implement data quality checks validation processes and monitoring mechanisms.
  • Ensure data security governance and compliance with organizational standards.
  • Participate in code reviews documentation and knowledge sharing across teams.

Required Skills & Qualifications

  • 6 8 years of hands-on experience in data engineering or related roles.
  • Strong proficiency in AWS Redshift including schema design performance tuning and workload management.
  • Solid experience with DBT (Data Build Tool) for data transformation and modeling.
  • Proficiency in SQL and scripting languages such as Python or Shell.
  • Experience with AWS services: S3 Lambda Glue CloudWatch IAM etc.
  • Familiarity with CI/CD pipelines version control (Git) and infrastructure-as-code tools.
  • Strong understanding of data warehousing concepts dimensional modeling and data lake architectures
Job Description: Data Engineer Key Responsibilities Design develop and maintain robust scalable and efficient ETL/ELT pipelines using DBT and AWS Redshift. Build and manage workflows using Argo pipelines. Collaborate with data analysts data scientists and business stakeholders to understand dat...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala