Senior data engineer - aws

apartmentHappiest Minds Technologies placeAbu Dhabi calendar_month 

Job Description

Data Engineer

Years of Experience: 5-8 Years

Job Summary: We are seeking a skilled Data Engineer with extensive experience in AWS and Google Cloud to join our dynamic team. The ideal candidate will have a strong background in big data technologies and a proven track record of designing and implementing data pipelines that support analytics and business intelligence initiatives.

This role requires a detail-oriented individual who can work collaboratively with cross-functional teams to deliver high-quality data solutions.

Responsibilities
  • Design, develop, and maintain scalable data pipelines using AWS services.
  • Implement data storage solutions using Snowflake and BigQuery.
  • Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet business needs.
  • Optimize data processing workflows for performance and cost efficiency.
  • Monitor and troubleshoot data pipeline performance and reliability.
  • Document data architecture and processes for future reference and compliance.
Mandatory Skills
  • Proven experience with AWS services, including but not limited to S3, EC2, Lambda, and Amazon Redshift.
  • Strong knowledge of big data technologies such as Spark and Kafka Stream.
  • Experience with data warehousing solutions, specifically Snowflake and BigQuery.
  • Proficiency in SQL, particularly Postgreql.
  • Ability to work with large datasets and perform data transformations.
Preferred Skills
  • Familiarity with data modeling and ETL processes.
  • Experience with data governance and data quality frameworks.
  • Knowledge of machine learning concepts and tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5-8 years of experience in data engineering or a related role.
  • Certifications in AWS or Google Cloud are a plus.

Join our team and contribute to building innovative data solutions that drive business success!

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