Data Engineer I, Amazon External Payments

Amazon; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

ADCI - Karnataka is seeking a data engineer to lead automation efforts for the Amazon Pay organization. You will design, implement and support a platform for ad-hoc access to large data sets and collaborate with technology teams to extract, transform, and load data from diverse sources.

The role requires strong SQL, data modeling, warehousing, and ETL pipeline skills using Python and Spark, with a Bachelor's degree.

Qualifications

• 1+ years of data engineering experience.
• Experience with SQL.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
• Bachelor's degree.

Responsibilities

• Design, implement, and support a platform providing ad-hoc access to large data sets.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
• Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies.
• Model data and metadata for ad-hoc and pre-built reporting.
• Interface with business customers, gathering requirements and delivering complete reporting solutions.
• Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
• Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Skills

SQL

Data Modeling

ETL Pipelines

Python

Spark

Scala

Education

Bachelor's degree

Tools

Redshift

SparkSQL

HiveQL

Job description

Description

In this role, you will lead Data Engineering efforts to drive automation for Amazon Pay organization.

Key job responsibilities

• Design, implement, and support a platform providing ad-hoc access to large data sets
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
• Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies
• Model data and metadata for ad-hoc and pre-built reporting
• Interface with business customers, gathering requirements and delivering complete reporting solutions
• Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
• Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Basic Qualifications

• 1+ years of data engineering experience
• Experience with SQL
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Bachelor's degree

Preferred Qualifications

• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets

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Company

ADCI - Karnataka

Job ID: A10504743