Offer summary

Qualifications:

Minimum 5-7 years of experience in ETL technologies such as ADF, AWS Glue, and Talend., At least 3 years of experience in Data Build Tool (DBT) and 2 years in Snowflake or Redshift., Strong skills in SQL, SnowSQL, and cloud technologies like AWS, Google, and Azure., Experience in data migration projects and CI/CD processes using GitHub..

Key responsabilities:

Automate processes related to impact analysis, remediation changes, and validations.

Manage tasks and deadlines for the ETL team while ensuring timely delivery.

Gather and understand Functional Requirement Specifications from clients.

Design high-level and low-level ETL flows and maintain documentation of ETL processes.

Welcome to Digital Placement, a leading staffing company dedicated to connecting businesses with top-tier digital talent. With a deep understanding of the ever-evolving digital landscape, we specialize in providing customized staffing solutions to meet your organization's unique needsAt Digital Placement, we recognize that in today's fast-paced and technology-driven world, having the right people with the right skills is crucial for success. Whether you're a small startup, a growing mid-sized company, or a large corporation, our extensive network of highly skilled professionals ensures that we can source the perfect candidates for your digital workforceOur team of experienced recruiters possesses a comprehensive knowledge of the digital industry, enabling us to identify and attract top talent across various disciplines. From digital marketing and advertising to web development, UX/UI design, data analysis, and beyond, we are committed to finding individuals who possess the expertise and experience required to drive your organization forwardWhat sets Digital Placement apart is our dedication to building strong, lasting relationships with both our clients and candidates. We take the time to understand your unique business goals, company culture, and specific requirements to ensure that we deliver candidates who not only possess the necessary technical skills but also align with your organization's values and objectivesFor our candidates, we go above and beyond in understanding their aspirations, career goals, and skill sets to match them with opportunities where they can thrive. We provide personalized guidance and support throughout the job search process, helping them secure positions that offer growth, fulfillment, and a rewarding career pathWith Digital Placement as your trusted staffing partner, you can expect exceptional service, prompt communication, and a commitment to excellence. We are dedicated to exceeding your expectations and are driven by a passion

Job description

Primary Skills :

SnowSQL, SQL, Data Build Tool, Amazon Redshift, AWS Glue, Snowflake

Secondary Skills :

Talend Software, Azure Data Factory

Minimum work experience of 5-7 in ETL technologies ADF, AWS Glue, DBT, Talend, etc.,

At least 3 years experience in DBT
At least 2 years experience in Snowflake and/or Redshift
Hands-on experience in cloud technologies Google, Azure, and AWS. AWS Cloud preferred
Responsible for creating source-to-target mappings, high-level design, and detailed designing of level documents
Ability to perform ETL troubleshooting and test ETL applications
Experience in writing complex SQL queries
Experience in Data Migration Projects
Strong Experience in building SnowSQL queries
Strong in GitHub – CI/CD process
Should be able to work as an independent team member and be able to respond to technical queries/requests from team members and clients
Ability to prioritize and execute tasks in a high-pressure environment

Roles and Responsibilities:

1) Responsible for automation of the processes process of impact analysis, remediation-related changes, validations etc.
2) Responsible for managing tasks and deadlines for the ETL team.
3) To get the Functional Requirement Specifications from the customer and understand the same.
4) High-level & low-level ETL flow design
5) Creating ETL protocols and database objects
6) Create and maintain adequate documentation of project ETL design, technical artifacts, and ETL environment.
7) Working on upgrades & system maintenance
8) Developing complex mappings and load data from different sources
9) Data Modelling

Required profile