Full-Time SQL Server Database Engineer(Azure/Databricks)

Requirements:

Tech Stack: SQL, SQL Server, Azure (Data Factory), Data Modeling, Data Pipelines, Databricks

7 Years of Experience

5+ years data analysis experience

Cloud certification (i.e. Azure, Databricks)

Qualifications:

Experience with building data pipelines and analytics solution to stream and process datasets at low latencies.

Knowledge of Data Engineering and Data Operational Excellence using standard methodologies.

Expert level skills writing and optimizing complex SQL.

Strong Knowledge of data warehousing frameworks and methodologies.

Experience in data mining, profiling, and analysis

Must have hands-on experience in MS SQL and Azure Data Factory development.

Experience with complex data modelling, ELT design, and using large databases in a business environment.

Five years' experience with languages like SQL, (Python or Java) or similar language

Must have at least three years of work experience in Big Data projects such as Microsoft Azure Synapse or similar a must

Experience:

2+ years in end-to-end design, develop and implement of cloud data architecture.

3+ years of experience with a cloud migration

2+ years defining cloud architecture requirements and gathering user stories for analytic product outputs

2+ years managing cloud migrations and setting milestones and timelines.

2+ years of stakeholder management in a low-data maturity environment.

2+ years of experience with data governance, data security and compliance.

2+ years developing and managing data stacks and dataflow layer using metadata.