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Hiring Process at Analytica

At Analytica, we follow a structured hiring process to ensure we select the best candidates for our team. Here is an overview of our hiring process:

Recruiter's Call: The process begins with a recruiter reaching out to potential candidates. During this initial call, the recruiter will provide an overview of the position and gather preliminary information about the candidate's background and experience.

Rounds of Interviews: Based on the initial call and the hiring manager's approval, the recruiter will establish direct interviews with the team. There may be multiple rounds of interviews that is designed to assess the candidate's qualifications, skills, and fit for the role.

Final Decision: After the interviews, the hiring team will review the candidate's performance and make a final decision. If the team decides to present an offer, the recruiter will directly call the candidate to discuss details such as salary, benefits, start date, etc. Others will also be notified through email or a call.

Impersonation Scams

We would like to bring to your attention the increasing number of impersonation scams targeting organizations worldwide. These scams involve individuals pretending to be someone from the hiring team such as HR manager or recruiters, to deceive you into providing sensitive information or making unauthorized transactions.

To protect yourself, please follow these guidelines:

Verify the Sender: Always double-check the sender's email address and contact details. If something seems off, do not hesitate to reach out to the person directly using a known and trusted communication method.

Be Cautious with Requests for Sensitive Information: Be wary of any unexpected requests for sensitive information, such as passwords, financial details, or personal data. Legitimate organizations will never ask for such information via email.

Look for Red Flags: Pay attention to any unusual language, spelling mistakes, or urgent requests that pressure you to act quickly. These are common signs of a scam.

Report Suspicious Activity: If you receive a suspicious email or message, report it immediately to our IT department. Do not respond or click on any links or attachments.

Stay Informed: Keep yourself updated on the latest scam tactics and best practices for cybersecurity. Regularly attend training sessions and read our security bulletins.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

By staying vigilant and following these guidelines, we can help protect ourselves from impersonation scams.

Data Engineer

Remote

Full Time

Experienced

Analytica is seeking a remote Data Engineer (MLOps) to support one or more dynamic, long-term federal government enterprise data programs. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization. 

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.   

Responsibilities include (but not limited to): 

Build out data pipelines in AWS for data lakes and data warehouses.
implementing data pipelines, via a variety of tools including Amazon S3, AWS Glue, Amazon Textract, Amazon Comprehend, AWS Lambda, SQL and/or Python scripts, in the cloud to an existing data lake and data warehouse.
Implement data pipelines, for batch and streaming data sources, from external feeds into a cloud-based data lake and eventually into data warehouses;
Implement data cataloging to share metadata information for datasets in the data lake;
Use AWS serverless components in the data pipeline architecture;
Use IaC tools to deploy the pipelines within AWS.

 Basic Qualifications: 

5+ years of hands-on Data Integration experience creating and maintaining efficient scripts/data pipelines to clean, transform and ingest data from a variety of formats into database tables, data warehouses or data lake repositories.
Experience building data pipelines using AWS serverless components; using AWS Glue to build, maintain and monitor ETL jobs; using Python to implement ETL scripts and AWS Secrets Manager to manage credentials.
Experience with AI/ML, NLP, Sentiment Analysis, etc. with one of the leading cloud providers is a plus.
AWSS ML Certification or AWS Data Engineer Certification is desired.
Must be US Citizen
Must be able to obtain and maintain a Public Trust security clearance

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award winning  SBA 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC. is an Equal Employment Opportunity and Affirmative Action employer. We value diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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