Data Engineer

• Job
  Description:

We are seeking a
talented and experienced Data Engineer to join our dynamic
team. The ideal candidate will have 4-10 years of experience in
building production-quality data pipelines utilizing data
extraction tools such as Talend, Informatica, and data warehouse
platforms such as Snowflake and Redshift. Strong experience with
relational databases (such as Oracle), data modeling, and SQL is
required.

• 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.