Data Engineer

1 week ago

Gurgaon, Haryana, India Impetus Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Open Location
- Gurgaon and Bangalore

Job Description

  • 4-7 years' experience working on Data engineering & ETL/ELT processes, data warehousing, and data lake implementation with Cloud services
  • Hands on experience in designing and implementing solutions like creating/deploying jobs, Orchestrating the job/pipeline and infrastructure configurations
  • Expertise in designing and implementing pySpark and Spark SQL based solutions
  • Design and implement data warehouses using Amazon Redshift, ensuring optimal performance and cost efficiency.
  • Good understanding of security, compliance, and governance standards.

Roles & Responsibilities

  • Design and implement robust and scalable data pipelines using GCP/AWS/Azure services
  • Drive architectural decisions for data solutions on Cloud platform, ensuring scalability, security, and cost-effectiveness.
  • Hands-on experience of Develop and deploy ETL/ELT processes using Glue/Azure data factory, Lambda/Azure functions, Step function/Azure logic apps/MWAA, S3 and Lake formation from various data sources.
  • Strong Proficiency in pySpark, SQL, Python.
  • Proficiency in SQL for data querying and manipulation.
  • Experience with data modelling, ETL processes, and data warehousing concepts.
  • Create and maintain documentation for data pipelines, processes, and following best practices.
  • Knowledge of various Spark Optimization technique, Monitoring and Automation would be a plus.
  • Participate in code reviews and ensure adherence to coding standards and best practices.
  • Understanding of data governance, compliance, and security best practices.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills – with understanding on stakeholder mapping

Mandatory Skills
- AWS, GCP OR Azure Cloud, Python Programming, SQL, Spark SQL, Hive, Spark optimization techniques and Pyspark.

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