Senior Data Engineer (Azure)
About The Position
Tiger Analytics is expanding its Data Engineering practice and is seeking an Azure Data Engineer to join its team of analytics experts. The company develops bespoke data and technology solutions for Fortune 100 organizations and has offices across the US, UK, India, and Singapore, as well as a substantial remote global workforce. The role focuses on leading data engineering engagements and building data pipelines using Azure technologies. The successful candidate will combine data from different sources, align data systems with business goals, and help deliver efficient, consumer-friendly data solutions. The position also involves program management of complex initiatives, stakeholder and risk management, and coordination with an offshore data engineering team.
Requirements
- At least 9 years of experience leading data engineering engagements.
- Strong program management experience managing complex data engineering initiatives.
- Experience managing stakeholders, risks, and offshore coordination with a 6–10-member data engineering team.
- 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.
- Experience building Azure Data Factory ingestion pipelines for structured and unstructured data.
Nice To Haves
- Experience in data wrangling and advanced analytic modeling.
- Experience with on-premises-to-cloud migration.
Responsibilities
- Lead data engineering engagements and complex data engineering initiatives.
- Manage stakeholders, project risks, and offshore coordination for 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 with Azure Data Factory for structured and unstructured data.
- Perform ETL processing and work with Delta Lake.
Benefits
- Opportunity for significant career development in a fast-growing, challenging entrepreneurial environment with a high degree of individual responsibility.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
