Data Engineer- ADF+Snowflake
3 weeks ago
Primary Roles and Responsibilities:
Developing Modern Data Warehouse solutions using Snowflake and ADF.
Ability to provide solutions that are forward-thinking in data engineering and analytics space
Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with business to understand the need in the reporting layer and develop a data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussions with client architect and team members
Orchestrate the data pipelines in the scheduler via Airflow
Skills and Qualifications:
Bachelor's and/or masters degree in computer science or equivalent experience.
Must have relevant years of 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
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.
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
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