- A Bachelor's or master's degree in computer science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous.
- Minimum of 8-10 years of experience in data engineering or a related field.
- Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark.
- Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment.
- Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions.
- In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration.
- Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.
- Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management.
- Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.
- Consulting exposure, with external customer focus mindset is preferred.
Must have skills: Databricks, Python, writing SQL queries, Delta lake, Data Lake concept, DWH, ADF, Azure Synapse, spark architecture, Data Governance, Azure Devops.