Manager, Data Engineering

About the role

Responsible for leading and managing data engineering projects within Valorem Reply Azure SI, US - Data + AI. This includes designing scalable data solutions, mentoring team members, and ensuring high-quality deliverables.

Responsibilities

• Design and implement scalable data solutions using modern technologies and frameworks.
• Mentor and guide junior engineers to enhance their skills and contribute to the team's success.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Ensure adherence to project timelines and quality standards.
• Contribute to the development and maintenance of best practices in data engineering.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Minimum 5 years of relevant work experience in data engineering.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of data modeling, database design, and SQL.
• Proficiency in Python, Java, or other relevant programming languages.
• Experience with big data technologies like Hadoop, Spark, or Kafka.
• Excellent problem-solving and analytical skills.
• Ability to communicate effectively with non-technical stakeholders.

Qualifications

• Proven track record of delivering high-quality data engineering projects.
• Experience with machine learning and data analytics tools.
• Knowledge of data warehousing and ETL processes.
• Experience with data governance and compliance standards.

Skills

• Data engineering expertise.
• Cloud computing proficiency.
• Programming and scripting skills.
• Collaborative leadership abilities.
• Technical communication skills.

Benefits

• Competitive salary commensurate with experience.
• Flexible work schedule with hybrid options.
• Professional development opportunities.
• Health insurance coverage.
• Retirement savings plan.

Pay

Salary is competitive and commensurate with experience.

Schedule

The position offers a flexible work schedule with hybrid options.