Description:
We are looking for a Junior Data Engineer who has a passion for data and comes with a data engineering background. Someone who has experience in designing and coding batch as well as participates in the design, build, and management of large scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows. One who wants to be part of a team that is actively designing and implementing the big data Hadoop. You will have the opportunity to grow in responsibility, work on exciting and challenging projects, train on emerging technologies, and help set the future of the Data Solutions Delivery team.




Fundamental Components:

• Assists in the development of large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Applies understanding of key business drivers to accomplish own work
• Uses expertise, judgment and precedents to contribute to the resolution of moderately complex problems.
• Leads portions of initiatives of limited scope, with guidance and direction. Writes ETL (Extract / Transform / Load) processes, design database systems and develop tools for real-time and offline analytic processing.
• Collaborates with the client team to transform data and integrate algorithms and models into automated processes.
• Uses knowledge in Hadoop architecture, HDFS commands, and experience designing & optimizing queries to build data pipelines.
• Uses programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems.
• Builds data marts and data models to support clients and other internal customers.
• Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.

Background Experience:

• 3 or more years of progressively complex data environment-related experience
• Strong problem-solving skills and critical thinking ability.
• collaboration and communication skills within and across teams.
• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.
• understand complex systems and solve challenging analytical problems.
• Experience with bash shell scripts, UNIX utilities & UNIX Commands.Knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar.
• Expertise in Hadoop architecture, HDFS commands, and experience designing & optimizing queries against data in the HDFS environment.
• Experience building data transformation and processing solutions.Has strong knowledge of large scale search applications and building high volume data pipelines.
• Master’s degree or Ph.D. preferred. Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline.

Potential Telework Position:
No

Percent of Travel Required:
0 - 10%

EEO Statement:
Aetna is an Equal Opportunity, Affirmative Action Employer

Benefit Eligibility:
Benefit eligibility may vary by position. Click here to review the benefits associated with this position.

Candidate Privacy Information:
Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.

Click To Review Our Benefits (PDF)