
Senior Data Solutions Architect
2 days ago
We are seeking a seasoned data engineer to join our team and develop innovative data solutions.
The ideal candidate will possess strong technical skills, a creative mind, and excellent communication skills.
- Developing modern data warehouse solutions using Snowflake and Azure Data Factory.
- Providing forward-thinking data engineering and analytics solutions.
- Collaborating with DW/BI leads to understand new ETL pipeline development requirements.
- Triage issues to find gaps in existing pipelines and fix the issues.
- Working with business to understand reporting needs and develop a data model to fulfill them.
- Helping team members resolve technical challenges.
- Driving technical discussions with client architects and team members.
- Orchestrating data pipelines in the scheduler via Airflow.
Responsibilities also include driving technical discussions with client architects and team members, and helping team members resolve technical challenges.
Required Skills and QualificationsEducation:
- Bachelor's and/or master's degree in computer science or equivalent experience.
Experience:
- Total 6+ years of IT experience and 3+ years of experience in Data warehouse/ETL projects.
Skills:
- Expertise in Snowflake security, SQL, and designing/implementing objects.
- Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, and connectors.
- Deep understanding of Star and Snowflake dimensional modeling.
- Strong knowledge of Data Management principles.
- Good understanding of Databricks Data & AI platform and Delta Lake Architecture.
- Experience with SQL, Spark (PySpark), and building ETL/data warehouse transformation processes.
- Experience with non-relational / NoSQL data repositories (MongoDB, Cassandra, Neo4J).
- Experience working with structured and unstructured data including imaging & geospatial data.
- Experience working in Dev/Ops environments with tools like Terraform, CircleCI, GIT.
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting, and Query Optimization.
- Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
- Comfortable working in a dynamic, fast-paced environment.
- Experience working in Agile methodology.
- Strong verbal and written communication skills.
- Strong analytical and problem-solving skills.
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