Azure Data Engineer
2 months ago
Skills and Qualifications :
- Bachelor's and/or master's degree in computer science or equivalent experience.
- Must have total 6+ yrs. 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.
Mandatory Skills : Snowflake/Azure Data Factory/ PySpark / Databricks
(ref:hirist.tech)-
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