Alignity
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 http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
CEO Message: Click Here
Clients Testimonial: Click Here
, 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 http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
CEO Message: Click Here
Clients Testimonial: Click Here