Data Engineer

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If you are a Junior, Mid-Level, and Senior Data Engineers/Developers ​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.

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Requirements

Role: Junior, Mid-Level, and Senior Data Engineers/Developers

Location:NYC,NY OR Boston,MA

Exp: 3-10+ Years

Requirements

We are seeking Junior Data Engineers/Developers with hands-on experience in AWS and Snowflake to support the migration of enterprise data infrastructure from SQL Server to AWS/Snowflake . This is an exciting opportunity for candidates who are passionate about cloud data platforms, modern data architecture, and want to be part of a digital transformation journey.

Key Responsibilities:

• Assist in migrating data pipelines and datasets from on-premises SQL Server to Snowflake on AWS .
  

• Build and maintain ETL/ELT pipelines using AWS native services (Glue, Lambda, S3, etc.).
  

• Perform data transformation, cleansing, and validation for reporting and analytics use cases.
  

• Work closely with senior data engineers and architects to follow best practices and standards.
  

• Support development and testing activities including performance tuning, validation, and issue resolution.
  

• Participate in unit testing, data validation, and documentation of data flow processes.
  

• Collaborate with business analysts and data scientists to ensure data availability and accuracy.
  

• Monitor data pipeline performance and assist in troubleshooting any data issues.
  

Required Skills & Qualifications:

• 1–3 years of experience as a Data Engineer or Developer.
  

• Good understanding of SQL Server schema design, stored procedures, and T-SQL queries.
  

• Experience with Snowflake , including writing SQL scripts, working with Snowpipe, and understanding of virtual warehouses and roles.
  

• Hands-on knowledge of AWS services like S3, Lambda, Glue, IAM, and CloudWatch.
  

• Familiarity with data migration strategies and working with large datasets.
  

• Basic understanding of data warehousing concepts and data modeling (star/snowflake schema) .
  

• Strong SQL skills for querying, transforming, and validating data.
  

• Familiarity with Python or any scripting language for data pipeline automation is a plus.
  

• Exposure to tools like dbt , Airflow, or Talend is desirable.
  

Preferred Qualifications:

• AWS Certified (e.g., AWS Certified Data Analytics – Specialty or AWS Certified Developer – Associate) is a plus.
  

• Experience working in an Agile environment .
  

• Exposure to CI/CD pipelines and version control systems (e.g., Git).
  

Soft Skills:

• Strong communication and interpersonal skills.
  

• Ability to work both independently and collaboratively in a fast-paced environment.
  

• Detail-oriented with strong problem-solving and analytical skills.
  

Benefits

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

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