ETL Developer with AWS

To qualify for the ETL Developer with AWS role at MSRcosmos, candidates must have a minimum of 8 years of professional experience, with at least 4 years specifically delivering data solutions on various data warehousing platforms. Strong SQL coding skills are essential, along with proficiency in ETL/ELT processes and cloud computing platforms like Amazon AWS and Snowflake.

As an ETL Developer with AWS at MSRcosmos, you will be responsible for developing data ingestion pipelines for both real-time and batch processing, applying best practices throughout. You'll also write complex SQL and PL/SQL to analyze and manipulate data, contribute to the cloud data warehousing efforts using platforms such as Redshift and Snowflake, and create scripts in Shell or Python to automate processes.

Yes, experience with cloud technologies is a crucial requirement for the ETL Developer role at MSRcosmos. The ideal candidate should have experience with Amazon AWS and other cloud computing platforms, as well as familiarity with cloud data warehouses like Snowflake or Redshift. This expertise is key to delivering innovative data solutions for our clients.

The ETL Developer with AWS role at MSRcosmos emphasizes strong technical skills in SQL and PL/SQL, alongside experience writing Shell Scripts or Python scripts. Additionally, problem-solving, analytical capabilities, and effective communication skills are vital for success in this position, as collaboration with cross-functional teams will be essential.

At MSRcosmos, the work environment for ETL Developers is collaborative and dynamic. You will engage with a passionate team, participate in innovative projects, and have the opportunity to grow both professionally and personally. With a focus on data-driven solutions and a commitment to serving humanity, the culture promotes both technical excellence and mentorship.

When answering this question, focus on specific projects where you've utilized SQL to extract, transform, and load data. Mention your expertise in writing complex queries and the types of databases you've worked with, emphasizing how this skill set contributed to successful ETL processes.

Address this question by discussing your approach to designing data ingestion pipelines. Highlight your understanding of both batch and real-time processing, best practices you follow, and any tools you’ve used, such as AWS services or other ETL technologies.

Discuss the methods you employ to guarantee data quality, such as implementing validation checks, creating automated tests, and capturing error logs. Give examples of specific situations where your focus on data quality improved project outcomes.

When answering, illustrate your hands-on experience with AWS, detailing specific services you have used, such as AWS Glue, S3, or Redshift. Share any projects that highlight your ability to leverage cloud technologies for data warehousing and ETL processes.

Share the scheduling tools you've worked with, like Control-M or Autosys, and explain why you prefer them. Discuss any specific features that enhance your ETL workflows and mention how you've implemented these tools in past projects.

Provide a detailed example of a challenging SQL issue you encountered. Explain the context, your approach to solving it, and the successful result, emphasizing your analytical thinking and problem-solving skills.

Discuss resources you use, such as blogs, courses, conferences, or online communities. Mention specific ETL trends you’ve followed recently and how integrating new knowledge has improved your work.

Share your perspective on the complexities of ETL, such as dealing with heterogeneous data sources or ensuring data security. Framing it positively, discuss how you tackle these challenges and what strategies have been successful.

Provide an approach for dealing with multiple projects, focusing on prioritization techniques, efficient time management, and how you communicate with stakeholders to ensure deadlines are met while maintaining quality.

Explain how collaboration with team members is essential in your work as an ETL Developer. Describe examples of cross-functional teamwork where you have contributed to collective problem-solving and how it led to improved project outcomes.