Senior Data Engineer (Azure)
About The Position
Tiger Analytics is expanding its Data Engineering practice and is seeking Azure Data Engineers to join its team of analytics experts. The role involves combining data from different sources and aligning data systems with business goals to improve efficiency. It offers an opportunity for career development in a fast-growing, challenging entrepreneurial environment with a high degree of individual responsibility. The role calls for leading data engineering engagements and managing complex initiatives, including stakeholder and risk management and offshore coordination with a data engineering team of 6–10 members. The successful candidate will work with Azure, Databricks, SQL, and Python to build data pipelines, process and harmonize data, and support large-scale data querying and integration.
Requirements
- At least 9 years of experience leading data engineering engagements.
- Strong program management experience managing complex data engineering initiatives.
- Strong communication skills at both executive and execution levels.
- Proficiency in Python programming.
- Proficiency in SQL queries.
- Experience building data pipelines using the Azure stack.
- At least 2 years of experience using Apache Spark.
- Good working experience with Delta Lake and ETL processing.
- Prior experience working in a Unix environment.
- Experience harmonizing raw data into a consumer-friendly format using Azure Databricks.
- Experience extracting, querying, and joining large datasets at scale.
- Strong communication and organizational skills.
Nice To Haves
- On-premises to cloud migration experience.
- Experience in data wrangling and advanced analytic modeling.
Responsibilities
- Lead data engineering engagements.
- Manage complex data engineering initiatives, including stakeholder management, risk management, and offshore coordination with a data engineering team of 6–10 members.
- Build data pipelines using the Azure stack.
- Harmonize raw data into consumer-friendly formats using Azure Databricks.
- Extract, query, and join large datasets at scale.
- Build data ingestion pipelines using Azure Data Factory for structured and unstructured data.
- Align data systems with business goals and strive for operational efficiency.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
