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Big Data ETL Developer at Applied Information Sciences, Inc. in Reston, Virginia

Posted in Other 30+ days ago.

Type: Full Time





Job Description:

Now Hiring an Sr. Big Data ETL Developer

Seeking highly motivated Sr. Big Data ETL Developer for the SVOC Snowflake project. This position requires to team up with architects to design a process to load flattened semi structured Graph data to Snowflake from Azure DataLake external stage using Snowpipe, using the, using Azure Databricks. You will also work on projecting the semi-structured data loaded to Snowflake on to relational Views. You will work in an Agile environment and will translate high level business requirements into detailed system design and will participate in the entire software development lifecycle. In addition you will work on finding solutions to issues during development and after deployment. You should be intellectually curious, have a solutions-oriented attitude and enjoy learning new tools and techniques.

- 2+ year experience in ETL Development on Microsoft Azure platform using Azure Databricks, Azure DataFactory & Azure Data Lake
- 2+ years of experience working with Java based applications, Apache Spark, Scala, Python and very strong SQL skills.
- 1+ years of experience working with Snowflake & Snowpipe.
- 1+ year of experience with Kafka or other messaging technologies
- 1+ year of experience in Kubernetes
- Experience in Production Support and operationalization of Applications
- Experience with manipulating and transforming data
- Exposure to the Hadoop Ecosystem (MapReduce, Oozie, Hive, Pig)
- Experience with Change Data Capture (CDC) technologies and relational databases such as MS SQL, Oracle and DB2
- Experience with DSE Graph/Cassandra will be a plus
- Strong critical thinking, decision making, and problem-solving skills
- Excellent verbal/written communication skills, including communicating technical issues to non-technical audiences

About AIS

AIS, Dedicated to Our People

AIS employees can spend their entire career at AIS doing challenging, rewarding work and reach their desired level of achievement and responsibility. We offer the opportunity to move up, without the obligation to move out of a position where one excels. We are committed to our employee's success; however, they define it.

It's our dedication to our employees that inspired our leadership to invest in our future and become partially employee-owned through an Employee Stock Ownership Program (ESOP).

Our employees are our greatest strength, and we do all that we can to serve them. We invest in technology as early adopters, allowing us to create transformative and innovative solutions for our customers while exposing our team to cutting edge technology.

We hire outstanding individuals who are committed to curiosity, passionate about emerging technology, and who are excited to find innovative solutions for the biggest tech challenges facing international brands and government agencies today.

We Invest in Individuals Committed to Innovation

AIS is seeking professionals of a certain character and level of excellence. People that we can learn from and that we can help grow to achieve their personal career goals. We are looking for:


- Smart people with a passion for technology

- Strong technical capabilities with a consultancy mindset

- Close involvement with local technical communities

- A willingness to think outside of the box to provide innovative solutions to clients

- Ability to solve challenging technical business problems

- Self-directed professionals

Our Core Values


- Client Success

- Continued Learning and Technical Excellence

- Strong Client Relationships

- Citizenship and Community

AIS is an Equal Opportunity Employer

Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status or any other basis covered by law. Employment decisions are based solely on qualifications merit, and business need..


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