Data Architect/Engineer

Overall professional experience of the candidate should be atleast 8 years with a maximum experience upto 14 years.

The candidate must understand the usage of data Engineering tools for solving business problems and help clients in their data journey. Must have knowledge of emerging technologies used in companies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams.

Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on data engineering projects.

Role Description:

Developing Modern Data Warehouse solutions using Databricks and Azure Stack

Ability to provide solutions that are forward-thinking in data engineering and analytics space

Collaborate with DW/BI leads to understand new ETL pipeline development requirements.

Triage issues to find gaps in existing pipelines and fix the issues

Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs

Drive technical discussion with client architect and team members

Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications:

Bachelor's and/or master's degree in computer science or equivalent experience.

Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture

Should have hands-on experience in SQL, Python and Spark (PySpark)

Experience in building ETL / data warehouse transformation processes

Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot

Databricks Certified Data Engineer Associate/Professional Certification (Desirable).

Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects

Should have experience working in Agile methodology

Strong verbal and written communication skills.

Strong analytical and problem-solving skills with a high attention to detail.

Mandatory Skills

Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake.