Mid/Senior Data Engineer - Alignity : Job Details

Job DescriptionDo 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 themeaning of work, and be a part of the team raved by Clients, Job-seekers and Employees.

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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.Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.RequirementsRole:Junior, Mid-Level, and Senior Data Engineers/DevelopersLocation:NYC,NY OR Boston,MAExp: 3-10+ YearsRequirementsWe 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.

BenefitsVisit us at Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.CEO Message: Click HereClients Testimonial: Click Here