Senior Data Engineer (R12924)

Job Description

• Lead the design and implementation of scalable, efficient, and robust data architectures.
• Design and develop data pipelines, ETL processes, and data integration solutions.
• Oversee the management and maintenance of databases, data warehouses, and data lakes.
• Establish and enforce data quality standards and governance practices.
• Provide technical leadership and mentorship to junior team members.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Implement monitoring systems to track data pipeline performance and optimize for efficiency.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering, with a focus on data architecture, ETL, and database management.
• Proficiency in programming languages like Python/PySpark and Java or Scala.
• Expertise in big data technologies such as Hadoop, Spark, Kafka, etc.
• In-depth knowledge of SQL and experience with various database technologies.
• Experience and expertise in building complex end-to-end data pipelines.
• Experience with orchestration and designing job schedules using CICD tools like Jenkins, Airflow or Databricks.
• Ability to work in an Agile environment.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Strong leadership, problem-solving, and decision-making skills.
• Excellent communication and collaboration abilities.

• Opportunity to work on large initiatives and lead technology efforts.
• A diverse, equitable, and inclusive culture.
• Mentorship opportunities.