Description

You will design, build, and launch production-grade data extraction, transformation, and loading processes for core master data.

Responsibilities

• Design and implement new ETL processes and data management solutions ensuring data safety and quality.
• Collaborate with engineers, product managers, and data scientists to translate data needs into technical requirements.
• Manage the full data management lifecycle with a focus on data quality analysis.
• Mentor team members on writing efficient queries and establishing best practices.
• Communicate requirements and progress updates to stakeholders across different time zones.

Required Skills

• 5+ years of experience with SQL, ETL, and data modelling.
• Proficiency in at least one programming language: Python, C++, C#, or Scala.
• Hands-on experience with data quality management and analysis.
• Experience using workflow management tools such as Airflow.
• Experience with stream-processing systems like Spark-Streaming or Kafka.
• Demonstrated ability in program management to deliver technical projects.
• Strong ability to influence decisions through clear communication.

Preferred Skills

• Experience implementing MDM capabilities including Entity Management, Hierarchy Management, Data Cleansing, and Match and Merge.
• Experience building and optimizing big data pipelines, architectures, and datasets.

Key Skills

Education

Any Graduate