
Senior Data Architect
2 days ago
Job Title: Senior Databricks Engineer / Technical Lead
Job Summary: We are seeking an experienced data engineer to develop modern data warehouse solutions using Databricks and Azure Stack.
Key Responsibilities:
- Developing data engineering and analytics solutions using Databricks, Azure Stack, and Python/Pyspark.
- Collaborating 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 reporting layer and develop data model to fulfill reporting needs.
- Help junior team members to resolve issues and technical challenges.
- Drive technical discussion with client architect and team members.
- Orchestrate the data pipelines in scheduler via Airflow.
Requirements:
- Bachelor's and/or master's degree in computer science or equivalent experience.
- Total 6+ years of IT experience and 3+ years' experience in Data warehouse/ETL projects.
- 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.
- Hands-on experience in SQL, Python, and Spark (Pyspark).
- Candidate must have experience in AWS/Azure stack.
- Desirable to have ETL with batch and streaming (Kinesis).
Preferred Skills:
- Experience in building ETL/data warehouse transformation processes.
- Experience with Apache Kafka for use with streaming data/event-based data.
- Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala).
- 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, and troubleshoot.
- 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.
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