Azure Data Engineer

We are looking for a skilled TL Azure Data Engineer with 9+ years of experience in big data technologies, particularly Python, PYSpark, SQL and data lakehouse architectures. The ideal candidate will have a strong background in building scalable data pipelines and experience with modern data storage formats, including Apache Iceberg. You will work closely with cross-functional teams to design and implement efficient data solutions in a cloud-based environment.

Key Responsibilities :

Data Pipeline Development :

Design, build, and optimize scalable data pipelines using Apache Spark.

Implement and manage large-scale data processing solutions across data lakehouses.

Data Lakehouse Management :

Work with modern data lakehouse platforms (e.g.Apache Iceberg) to handle large datasets.

Optimize data storage, partitioning, and versioning to ensure efficient access and querying.

SQL & Data Management :

Write complex SQL queries to extract, manipulate, and transform data.

Develop performance-optimized queries for analytical and reporting purposes.

Data Integration :

Integrate various structured and unstructured data sources into the lakehouse environment.

Work with stakeholders to define data needs and ensure data is available for downstream consumption.

Data Governance and Quality :

Implement data quality checks and ensure the reliability and accuracy of data.

Contribute to metadata management and data cataloging efforts.

Performance Tuning :

Monitor and optimize the performance of Spark jobs, SQL queries, and overall data infrastructure.

Work with cloud infrastructure teams to optimize costs and scale as needed.

Qualifications :

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

8+ years of experience in data engineering, with a focus on python, Spark and SQL Programming languages.

Hands-on experience with Apache Iceberg, Snowflake, or similar technologies.

Strong understanding of data lakehouse architectures and data warehousing principles.

Proficiency in Azure.

Experience with version control systems like Git and CI / CD pipelines.

Excellent problem-solving and analytical skills.

Strong communication and collaboration skills.

Nice to Have :

Experience with containerization (Docker, Kubernetes) and orchestration tools like Airflow.

Certifications in Azure cloud technologies