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Mid / Senior Data Engineer

Mid / Senior Data Engineer

AlignityNew York, NY, United States
3 days ago
Job type
  • Full-time
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 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.

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.

    CEO Message : Click Here

    Clients Testimonial : Click Here

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