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Sr Azure Data Engineer - Team Lead

Remote:

Full Remote

Contract:

Fixed term

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

Proficiency in SQL and data pipelines, Experience with Azure Data Factory and Databricks, Strong analytical and problem-solving skills, Hands-on knowledge with PySQL/Pyspark.

Key responsabilities:

Participate in business discussions for data requirements
Create and manage data pipelines using Azure technologies

Zealogics Inc Information Technology & Services SME https://www.zealogics.com/

501 - 1000 Employees

See more Zealogics Inc offers

Job description

Responsibilities: Able to participate in business discussions and assist gathering data requirements. Good analytical and problem-solving skills to help address data challenges.
Proficiency in writing complex SQL queries for data extraction, transformation, and analysis. Knowledge of SQL functions, joins, subqueries, and performance tuning. Able to navigate source systems with minimal guidance to understand how data is related and use like data profiling to gain a better understanding of the data. Hands on experience with PySQL/Pyspark etc.
Hands on Experience in creating and managing data pipelines using Azure Data Factory. Understanding of data integration, transformation, and workflow orchestration in Azure environments.
Knowledge of data engineering workflows and best practices in Databricks. Able to understand existing templates and patterns for development. Hands on experience with Unity Catalog and Databricks workflow.
Proficiency in using Git for version control and collaboration in data projects. Ability to work effectively in a team environment, especially in agile or collaborative settings.
Clear and effective communication skills to articulate findings and recommendations for other team members. Ability to document processes, workflows, and data analysis results effectively.
Willingness to learn new tools, technologies, and techniques as the field of data analytics evolves. Being adaptable to changing project requirements and priorities.
Skills
Azure Databricks, Data Lakehouse architectures, and Azure Data Factory.
Expertise in optimizing data workflows and predictive modeling.
Designing and implementing data pipelines using Databricks, Spark,
Expertise in batch and streaming data solutions, automating workflows with CI/CD tools like Jenkins and Azure DevOps, and ensuring data governance with Delta Lake
Spark, PySpark, Delta Lake, Azure DevOps, Python.
Advance SQL expertise