Data Engineer

Job
Description:

Key
Responsibilities:

• Design,
  develop, and maintain high -performance, scalable,
  high -volume, and efficient ETL/ELT pipelines to
  extract, transform, and load data from various
  sources such as Oracle.
  

• Create and
  optimize data models and schemas to support various use cases
  (such as AI/ML solutions, benchmarking, customer data
  delivery) in Snowflake and Redshift.
  

• Ensure data
  quality, integrity/completeness, and governance by
  implementing best practices for monitoring and validation.
  Build automated monitoring and alerting mechanisms.
  

• Collaborate
  with cross -functional teams to understand data
  requirements to support business objectives.
  

• Stay up to
  date with emerging trends and technologies in data
  engineering.
  

Required
Skills/Qualifications:

• 4 -10 years of
  experience in building and maintaining ETL/ELT data pipelines
  using tools such as Informatica, Pentaho Data Integration, or
  other third -party tools.
  

• 4+ years of
  hands -on experience with relational databases such as Oracle
  and data modeling.
  

• Strong
  programming skills in Python, SQL, or Scala.
  

• 3+ years of
  experience on data warehouse platforms such as Snowflake and
  Redshift.
  

• Familiarity
  with data governance, security, and compliance best
  practices.
  

• Keen eye for
  data accuracy, completeness, and privacy.
  

• Familiarity
  with cloud services such as AWS and Azure.
  

• Familiarity
  with version control systems (e.g., Git), JIRA,
  Confluence.
  

• Experience in
  delivering customer -facing SaaS solutions.
  

• Bachelor’s
  degree in Computer Science, Engineering, or a related field,
  or equivalent practical experience.
  

• Strong
  problem -solving skills and the ability to optimize data
  processing workflows.
  

• Excellent
  verbal and written communication and teamwork
  skills.
  

Desirable
Skills:

• Experience
  with AI and machine learning applications.
  

• Understanding
  of containerization technologies like Docker.
  

• Knowledge of
  CI/CD pipelines and DevOps practices.
  

Benefits:

• Competitive
  salary and benefits package.
  

• Opportunity to
  work on cutting -edge technologies and innovative
  projects.
  

• Collaborative
  and inclusive work environment.
  

• Professional
  development and growth opportunities.