Big Data Developer

7 days ago


Coimbatore, Tamil Nadu, India SP Software Pvt. Ltd. Full time

Job Title: Data Engineer at a Leading Tech Company

Are you a skilled Software Developer with experience in designing and managing data solutions in the AWS cloud ecosystem? If so, we have an exciting opportunity for you Join our team and work on creating and maintaining optimal data architecture pipelines while collaborating with stakeholders to implement efficient data solutions. Check out the responsibilities and required skills below:

  • Design, deploy, and manage high-quality data solutions in AWS cloud
  • Collaborate with onsite and client stakeholders to identify and implement data engineering requirements
  • Ensure code quality and development practices for reliable and scalable data services
  • Work with cross-functional teams to provide expert guidance on best practices for data engineering in AWS
  • Analyze internal and external data, processes, and share insights using reporting tools
  • Handle large datasets to meet functional and business requirements
  • Experience with AWS services like S3, EC2, EMR, Lambda, Glue, Athena, Airflow, Redshift
  • Strong skills in SQL and Scala using Spark framework
  • Implement enterprise Data warehousing using Batch and real-time systems
  • Proficient in creating efficient Data Models in a big data ecosystem
  • Knowledge of Docker/containerization and IAM roles
  • Ability to translate data into actionable results and communicate effectively
  • Experience in Agile processes and managing mid to large teams
  • Strong problem-solving skills and attention to detail
  • View challenges as opportunities and offer potential solutions
  • Lead by example, modeling company values in everything you do
  • Train and provide feedback to less experienced team members

Primary Skill Set:

  • Hands-on experience in AWS and Big Data Engineering
  • Proficiency in S3, EC2, EMR, Lambda, Glue, Athena, Airflow, Redshift
  • Strong skills in SQL and Scala using Spark framework
  • Experience with enterprise Data warehousing implementations

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