Azure Big Data Architect
7 days ago
About the Role
Tiger Analytics is a global AI and analytics consulting firm, and we're looking for a skilled Big Data Engineer to join our team. As a Big Data Engineer at Tiger Analytics, you'll be at the forefront of an AI revolution, working with cutting-edge technologies on Microsoft Azure.
Your Key Responsibilities
- Design and build scalable data ingestion pipelines using Azure Data Factory (ADF), PySpark, and Databricks.
- Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization.
- Schedule, orchestrate, and validate pipelines.
- Design exception handling and log monitoring for debugging.
- Collaborate with peers to make tech stack and tools-related decisions.
- Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines.
What We're Looking For
- 4 to 9 years of total IT experience with 2+ years in big data engineering and Microsoft Azure.
- Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database.
- A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview.
- A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java).
- Enthusiasm to collaborate with various stakeholders across the organization and take complete ownership of deliverables.
Preferred Qualifications
- Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search.
- Good understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV.
- Experience in working on Data Lake & Lakehouse projects.
- Experience in building REST services and implementing service-oriented architectures.
- Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner.
- Certifications like Data Engineering on Microsoft Azure (DP-) or Databricks Certified Developer (DE).
What We Offer
Tiger Analytics is a Great Place to Work-CertifiedTM and we offer a diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Compensation packages are among the best in the industry.
The designation will be commensurate with expertise and experience.
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