Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Amazon Data Engineer in Chennai, TennesseeIndia

Description

Are you passionate about working with Amazon-scale data, analytics, and data science?

Do you love bringing data together from diverse systems and sources and working on innovative analytics problems for creating deep understanding of customer behavior and generating actionable business insights? Does the idea of working closely with a team of highly experienced business intelligence engineers, machine-learning scientists and software engineers excite you?

Key job responsibilities

As a Data Engineer I, you will play a crucial role in designing, building, and maintaining data ingestion pipelines, ETL processes, and data warehousing solutions. Your responsibilities will include extracting data from various sources, transforming and loading it into centralized data repositories, and ensuring data quality and integrity throughout the process. You will be responsible for creating scalable data models, optimizing data warehouse performance, and implementing efficient data processing workflows.

You will implement comprehensive data quality checks, validation rules, and monitoring mechanisms to maintain data reliability and provide visibility into data quality metrics. Automation and scripting will be essential aspects of your role, as you will develop and maintain scripts for data engineering tasks and contribute to the development of reusable components and libraries. Collaboration with business intelligence engineers, data scientists, and other stakeholders will be crucial to understand data requirements and align data engineering efforts with business objectives. You will stay up-to-date with the latest tools, technologies, and best practices through continuous learning and professional development.

About the team

Comixology, a revolutionary, cloud-based digital comics service, was acquired by Amazon in 2014. The Comixology team is responsible for comics – including comic books, graphic novels, manga and bandes dessinées – worldwide at Amazon, including the Comixology-branded apps, Kindle comics, and the comics store on Amazon.com. The team’s first-in-class innovations include the exclusive Comixology Guided View technology which provides an immersive and cinematic reading experience and Comixology Unlimited, a monthly subscription service. ComiXology is based in New York City, with operations in Seattle, Los Angeles, and Chennai.

We are open to hiring candidates to work out of one of the following locations:

Chennai, TN, IND

Basic Qualifications

  • 2+ years of data engineering experience

  • 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)

  • Experience with one or more scripting language (e.g., Python, KornShell)

  • Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics

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

  • Experience in Unix

Preferred Qualifications

  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

  • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

  • Knowledge of distributed systems as it pertains to data storage and computing

  • Experience in building or administering reporting/analytics platforms

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