Required Qualifications:

10 Years industry implementation experience with data integration tools such as Databricks ,

Azure Data Factory, etc.

Design, implement, and maintain data pipelines for data ingestion, processing, and

transformation in Azure.

Work together with data scientists and analysts to understand the needs for data and create

effective data workflows.

Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and

Azure Blob Storage.

Minimum of 5 years of data architecture, data modelling or similar experience

Bachelors degree or equivalent experience, Masters Degree Preferred

Strong data warehousing, OLTP systems, data integration and SDLC

Strong experience in big data frameworks & working experience in Spark or Hadoop or Hive (incl.

derivatives like pySpark (prefered), SparkScala or SparkSQL) or Similar, along with experience in

libraries / frameworks to accelerate code development

Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, etc.)

Experience with major database platforms (e.g. SQL Server, Oracle, Azure Data Lake, Hadoop,

Azure Synapse/SQL Data Warehouse, Snowflake, Redshift etc.)

Strong experience in orchestration & working experience in either Data Factory or HDInsight or

Data Pipeline or Cloud composer or Similar

Understanding and experience with major Data Architecture philosophies (Dimensional, ODS,

Data Vault, etc.)

Understanding of modern data warehouse capabilities and technologies such as real-time, cloud,

Big Data.

Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, GCP)

Strong experience in Agile Process (Scrum cadences, Roles, deliverables) & working experience in

either Azure DevOps, JIRA or Similar with Experience in CI/CD using one or more code

management platforms

3-5 years development experience in decision support / business intelligence environments

utilizing tools

Data Engineer