Data Engineer I - Amazon PI Job in Bangalore at Amazon

Amazon is hiring for the role of Data Engineer I - Amazon PI!

Responsibilities of the Candidates:

• Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and reporting.
• Implement data structures using best practices in data modeling, ETL processes, and SQL, AWS – Redshift, and OLAP technologies, and model data and metadata for ad hoc and pre-built reporting.
• Work with product tech teams to build robust and scalable data integration (ETL) pipelines using SQL, Python, and Spark.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
• Interface with business customers, gather requirements and deliver complete reporting solutions.
• Collaborate with analysts, business intelligence engineers, SDEs, and product managers to implement algorithms that exploit rich data sets for statistical analysis and machine learning.
• Communicate effectively with product/business/tech teams/other data teams.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• 1+ years of industry experience in software development, data engineering, business intelligence, data science, or related fields with a track record of manipulating, processing, and extracting value from large datasets.
• Experience with SQL.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
• Experience with one or more scripting languages (e.g., Python, KornShell).
• A desire to work in a collaborative, intellectually curious environment.
• Effective analytical, troubleshooting, and problem-solving skills.
• Preferred Qualifications: 2+ years of experience as a Data Engineer, BI Engineer, or related field in a company with large, complex data sources. - Experience working with AWS big data technologies (Redshift, S3, EMR, Glue)