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Chief Data Architect
2 weeks ago
Our organization seeks an accomplished Data Engineer to spearhead innovative solutions in data engineering and analytics. The ideal candidate will have expertise in SQL, Snowflake, and data engineering and analytics.
The primary roles and responsibilities of this position include:
- Developing forward-thinking solutions in the data engineering and analytics space.
- 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 the need in the reporting layer and develop a data model to fulfill reporting needs.
- Assisting junior team members to resolve issues and technical challenges.
- Driving technical discussions with client architect and team members.
- Orchestrating the data pipelines in the scheduler via Airflow.
The successful candidate will possess the following skills and qualifications:
- Bachelor's and/or master's degree in computer science or equivalent experience.
- A minimum of 6+ years of IT experience and 3+ years' experience in Data warehouse/ETL projects.
- Expertise in Snowflake security, Snowflake SQL, and designing/implementing other Snowflake objects.
- Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, Snowsight, and Snowflake connectors.
- Deep understanding of Star and Snowflake dimensional modeling.
- Strong knowledge of Data Management principles.
- Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture.
- Should have hands-on experience in SQL and Spark (PySpark).
- Experience in building ETL / data warehouse transformation processes.
- Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J).
- Experience working with structured and unstructured data including imaging & geospatial data.
- Experience working in a Dev/Ops environment with tools such as 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, 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.
