Senior Analyst - Data Engineering

Role:

Experience:

Location:

• Communication and leadership experience, with experience initiating and driving projects.
• Experience with data sets, Hadoop, and data modernisation tools.
• Experience in SQL or similar languages and in any one cloud platform AWS/Azure/GCP.
• Development experience in at least one object-oriented language (Python, Java, etc.).
• BA/BS in Computer Science, Math, Physics, or other technical fields.
  

Job Responsibility:

• Building and maintaining robust modern data architectures
• Designing efficient data pipelines
• Ensuring data quality and integrity
• Scaling data platform solutions and provide thought leadership
• Expertise in any one of the cloud platforms AWS/Azure/GCP
• Proficiency in Python/SQL and Data warehousing concepts
  

Skills:

• Strong hands-on experience in Databricks, Apache Spark (PySpark/Scala), and Delta Lake.
• Expertise in SQL, ETL/ELT pipelines, and data modelling.
• Experience with Azure, AWS, or GCP cloud platforms. Knowledge of MLOps, MLflow, and CI/CD best practices.
• Experience in workflow orchestration using Databricks Workflows, Airflow, or Prefect.
• Understanding of cost optimization, cluster tuning, and performance monitoring in Databricks. Strong leadership, stakeholder management, and mentoring skills.
• Experience with data lakehouse architectures and Unity Catalog.
• Hands-on with Terraform, Infrastructure-as-Code (IaC), or Kubernetes.
• Familiarity with data governance, security, and privacy frameworks.