Senior Data Engineer Marketing Data Platform

.

Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and a Flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.

Key Responsibilities:

• Design and maintain robust and scalable

  data pipeline architecture

  .
• Assemble complex data sets that meet both functional and non-functional requirements.
• Implement internal process improvements, such as automation of manual tasks, optimization of data delivery, and re-designing infrastructure for scale.
• Build infrastructure to support efficient

  data extraction, transformation, and loading (ETL)

  using

  SQL, dbt

  , and

  AWS Big Data technologies

  .
• Develop analytics tools to provide actionable insights on

  employee experience

  ,

  operational efficiency

  , and other

  business performance metrics

  .
• Collaborate with stakeholders to resolve data-related issues and support infrastructure needs.
• Create and manage processes for

  data transformation, metadata management

  , and

  workload orchestration

  .
• Stay up to date with emerging cloud technologies (AWS/Azure) and propose opportunities for integration.
• Partner with Data Scientists and Analysts to enhance data systems and ensure maximum usability.

Minimum Qualifications:

• Bachelor's or Graduate degree in

  Computer Science

  ,

  Information Systems

  ,

  Statistics

  , or related quantitative field.

• 5+ years of experience

  in a Data Engineering role.
• Extensive hands-on experience with

  Snowflake

  and

  dbt

  (including advanced concepts like macros and Jinja templating).
• Proficient in

  SQL

  and familiar with various relational databases.
• Experience in

  Python

  and big data frameworks like

  PySpark

  .
• Hands-on experience with

  AWS services

  such as

  S3

  ,

  EC2

  ,

  Glue

  ,

  Lambda

  ,

  RDS

  , and

  Redshift

  .
• Experience working with

  APIs

  for data ingestion and integration.
• Proven track record in optimizing data pipelines and solving performance issues.
• Strong analytical and problem-solving skills, with experience conducting

  root cause analysis

  .

Preferred Qualifications:

• Experience with

  AWS CloudFormation templates

  .
• Familiarity with

  Agile/SCRUM

  methodologies.
• Exposure to

  Power BI

  for dashboard development.
• Experience working with

  unstructured datasets

  and deriving business value from them.
• Previous experience with

  globally distributed teams

  in agile environments.

Primary Skills (Must-have):