Senior Data Engineer Job at Alignity Solutions, Florida

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  • Alignity Solutions
  • Florida

Job Description

Job Description

Job Description

Do you love a career where you Experience , Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees.

  • Jobseeker Video Testimonials
  • Employee Glassdoor Reviews

If you are a Sr.Data Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.

Requirements
Role: Sr.Data Engineer

Location:Orlando,FL

Exp: 10+ Years

Requirements

We are seeking a highly skilled Senior Data Engineer with 10+ years of experience to join our team and support large-scale data initiatives. This role demands deep expertise in Snowflake , Python , DBT , and AWS services, along with proven experience in building robust, scalable ELT pipelines using tools like Apache Airflow . The ideal candidate is a strong communicator , independent contributor , and 100% hands-on in all relevant technologies.

Key Responsibilities:
  • Design, develop, and maintain ELT data pipelines using Apache Airflow, DBT, and Snowflake in an AWS environment.

  • Write modular, production-grade Python code for data ingestion, transformation, and automation tasks.

  • Develop complex DBT models (incremental models, snapshots) with reusable macros and documentation.

  • Implement data pipeline orchestration and job scheduling using Apache Airflow (MWAA) .

  • Optimize SQL queries and Snowflake performance (partitioning, clustering, caching).

  • Integrate and process data from multiple sources, including REST APIs .

  • Set up and maintain monitoring and logging using AWS CloudWatch .

  • Follow best practices for cloud security , including IAM roles, encryption, and access control.

  • Participate in version control and CI/CD processes using Git .

  • Collaborate with cross-functional teams in a client-facing capacity.

Required Technical Skills:
Data Engineering & ELT:
  • Strong experience with Snowflake (data modeling, optimization, clustering, caching).

  • Deep SQL expertise (complex joins, CTEs, window functions, subqueries, performance tuning).

  • Proficient with DBT (Data Build Tool) :

    • Creating and managing DBT models, macros, tests, and documentation.

    • Version controlling with Git and setting up CI/CD for DBT pipelines.

Programming:
  • Strong hands-on skills in Python :

    • Use of Pandas, NumPy for data manipulation.

    • Scripting for automation and API integration.

    • Writing custom Jinja/DBT macros and conditional logic.

AWS Cloud Platform:
  • AWS S3 (data lake architecture, security best practices).

  • AWS Lambda (serverless compute for lightweight ETL tasks).

  • AWS Redshift (data warehousing, performance optimization).

  • AWS Glue (ETL orchestration – nice to have ).

  • Amazon Athena (querying S3 using SQL – nice to have ).

  • IAM (access control), KMS/encryption, and best practices for cloud security.

  • AWS CloudWatch (monitoring, alerting for Airflow and data pipeline failures).

Workflow Orchestration:
  • Expertise in Apache Airflow (preferably MWAA) :

    • DAG creation and monitoring.

    • Integration with DBT, S3, Redshift, and external APIs.

Must-Have Qualifications:
  • 10+ years of overall IT experience with at least 5 years in Data Engineering.

  • Client-facing experience with excellent verbal and written communication.

  • Ability to work independently with minimal supervision (Individual Contributor).

  • Proven track record of delivering large-scale ELT solutions in cloud environments.

Preferred/Optional Experience:
  • Experience with MWAA (Managed Workflows for Apache Airflow) .

  • Familiarity with AWS Glue for ETL development.

  • Understanding of data governance and quality frameworks.

  • Familiarity with financial domain data structures, compliance, and reporting.

Soft Skills:
  • Problem-solving mindset and attention to detail.

  • Strong documentation and organizational skills.

  • Comfortable collaborating in agile/scrum teams.

Benefits

Visit us at Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

CEO Message: Click Here

Clients Testimonial: Click Here

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