Senior Business Intelligence Developer
5 days ago
About us
We are a data-driven organization that provides business analytics, data science and software engineering services to clients globally.
We seek a seasoned Data Engineer who possesses the technical expertise to develop modern data warehouse solutions using Snowflake and ADF.
- Design and implement data warehouse solutions leveraging Snowflake and Azure Data Factory.
- Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
- Triage issues to find gaps in existing pipelines and fix them.
- Work with businesses to understand reporting needs and develop data models to fulfill those needs.
- Drive technical discussions with client architects and team members.
- Orchestrate data pipelines in schedulers via Apache Airflow.
Requirements
- Bachelor's and/or master's degree in computer science or equivalent experience.
- Total 6+ yrs. of IT experience and 3+ years' experience in data warehouse/ETL projects.
Desired Skills
- Snowflake security, Snowflake SQL, designing/implementing other Snowflake objects.
- Snowflake utilities, SnowSQL, Snowpipe, Snowsight and Snowflake connectors.
- Star and Snowflake dimensional modeling.
- Data Management principles.
- Databricks Data & AI platform and Databricks Delta Lake Architecture.
- SQL and Spark (PySpark).
- Building ETL / data warehouse transformation processes.
- Non-relational / NoSQL data repositories (MongoDB, Cassandra, Neo4J).
- Structured and unstructured data including imaging & geospatial data.
- Dev/Ops environment with Terraform, CircleCI, GIT.
- RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting and Query Optimization.
We value diversity and inclusivity in our workplace.
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