Snowflake Azure Data Engineer- Architect
1 week ago
At Tredence Inc., we are seeking a highly skilled Snowflake Azure Data Engineer- Architect to join our team. This role offers an exciting opportunity for professionals with expertise in designing and implementing data warehousing solutions using Snowflake, Databricks, and Azure Data Factory.
About the Role:
- This position involves working on the development of modern data warehouse solutions, utilizing Snowflake, Databricks, and Azure Data Factory.
- The ideal candidate will have experience in providing innovative solutions that align with the company's forward-thinking approach in data engineering and analytics.
- Collaboration with DW/BI leads is essential to understand new ETL pipeline development requirements and work together to implement them.
- Ability to troubleshoot issues in existing pipelines and resolve them efficiently.
- Strong communication skills are necessary for collaboration with business stakeholders to understand reporting needs and develop a data model to fulfill those requirements.
- Assisting junior team members in resolving technical challenges and driving discussions on data pipeline orchestration.
About You:
- Bachelor's or Master's degree in Computer Science or equivalent experience is required.
- A minimum of 3 years of IT experience and 2+ years' experience in Data Warehouse/ETL projects is expected.
- Expertise in Snowflake security, SQL, and designing/implementing other Snowflake objects is a must.
- Familiarity with Snowflake utilities like SnowSQL, Snowpipe, Snowsight, and connectors is necessary.
- A deep understanding of star and snowflake dimensional modeling is also required.
- Strong knowledge of data management principles and good understanding of Databricks Data & AI platform and Delta Lake architecture.
- Hands-on experience with SQL and Spark (PySpark) as well as experience in building ETL/data warehouse transformation processes.
- Experience with Open Source non-relational/NOSQL data repositories such as MongoDB, Cassandra, and Neo4J.
- Comfortable working with structured and unstructured data including imaging/geospatial data.
- Dev/Ops environment experience with tools like Terraform, CircleCI, and GIT.
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting, and query optimization.
- Databricks Certified Data Engineer Associate/Professional Certification is desirable.
What We Offer:
- We offer a competitive estimated salary of $120,000 - $180,000 per annum based on your qualifications and experience.
- A dynamic, fast-paced, and innovative environment with several ongoing concurrent projects.
- An Agile methodology-based project delivery system.
- A chance to work with a talented team of professionals who are passionate about delivering high-quality projects.
- A flexible work environment that encourages work-life balance.
Mandatory Skills:
- Snowflake/Azure Data Factory/ PySpark / Databricks
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