AWS Data Engineer

4 weeks ago

pune, India Optical Arc Pvt. Ltd. Full time

Company Overview


Optical Arc Pvt. Ltd. is a full-service company of custom software development, mobile application, database management system (DBMS), data visualization, ALM, PLM, and website development. We provide end-to-end solutions tailored to our clients' unique needs. With a team of 11-50 dedicated employees, we are committed to helping businesses grow and succeed.


Job Overview


This is a senior-level position with a focus on AWS data engineering. The candidate should have 7 to 10 years of experience in data engineering and be proficient in AWS, Python, SQL, Apache, and Hadoop. The job location is Pune, Maharashtra, India, and the employment type is Full-Time.


Qualifications and Skills


  • 7 to 10 years of experience in data engineering with a focus on AWS.
  • Strong proficiency in AWS services and tools, such as S3, Redshift, Glue, and Athena.
  • Proficiency in programming languages, particularly Python, for data engineering tasks.
  • Solid understanding of SQL and database concepts.
  • Experience with Apache Hadoop and related technologies, such as Spark and Hive.
  • Familiarity with data visualization and business intelligence tools.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and as part of a team.


Roles and Responsibilities


  • Designing, developing, and maintaining scalable and secure AWS data engineering solutions.
  • Building data pipelines and ETL processes to extract, transform, and load data from various sources.
  • Optimizing data storage and retrieval for performance and cost efficiency.
  • Collaborating with cross-functional teams to understand data requirements and translate them into technical solutions.
  • Troubleshooting and resolving data-related issues and maintaining data integrity.
  • Monitoring and ensuring the availability, reliability, and performance of AWS data engineering infrastructure.
  • Keeping up-to-date with the latest technologies and best practices in AWS data engineering.
  • Providing technical guidance and mentoring to junior data engineers in the team.





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