Data Engineer at Applied Information Sciences, Inc. in Chevy Chase, Maryland

Job Description:

Now Hiring a Data Engineer

Interested in building a large scale, modern data ecosystem as a member of a transformation focused consulting company that is working with one of the largest financial service companies in the US? Join us as we transform and modernize our clients' data environment into a robust and intelligent data ecosystem. This is a fast-moving, forward-leaning initiative to build a full featured platform which will serve as the backbone for their big data and data analytics innovations. We are looking for modern data enthusiasts who want to make a big impact, deliver great technology, and work on an exciting team. This is a remote position but must be able to commute to Chevy Chase, MD occasionally.

Profile of Success

- Work in a team using cutting edge technologies to solve challenging business problems and build solutions

- Interact directly with our client(s) to understand their needs and meet, or exceed their expectations by meeting delivery deadlines

- Work in an agile environment with participation in daily stand-ups/scrum

- Design, write, test, troubleshoot, and document data transformations

- Learn new technologies and be aware of industry standards, best practices, and trends.

Required Skills

- 3+ years of experience working with Scala

- Hands on Programming experience in Scala with Spark for ETL

- Advanced SQL skills

- Possess Hive skills with HiveQL.

- Experience in designing efficient and robust ETL/ELT workflows, schedulers using Oozie, and event-based triggers

- Big Data Experience - Experience with Ab Initio, MDM, Microstrategy, Cassandra, Hadoop, Spring Cloud

- Data Operations and Security - experience with tools like Collibra, able to establish data standards and policies

- Proven ability to work with clients to understand requirements and envision data ingestion solutions

Desirable Skills

- Experience with Snowflake

- Experience with the Azure storage technologies (Azure Data Lake, Azure SQL Data Warehouse, Azure SQL Database)

- Knowledge of Azure data movement and transformation capabilities (Azure Data Factory, Data Lake Analytics, Data Bricks, Stream Analytics)

- Knowledge of Talend ETL

- Microsoft related certifications such as the MCSD/MCSE.

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.