Azure Data Engineer

Unisys — Bangalore, KA, India

What success looks like in this role: End-to-End Pipeline Engineering: Build and automate robust ETL/ELT pipelines using Azure Data Factory (ADF), AWS Glue, and Apache Airflow. · Distributed Computing: Develop large-scale data processing jobs using PySpark and Scala within Databricks or EMR environments. · Streaming & Real-time Integration: Design and implement real-time data ingestion and processing layers using Apache Kafka, Confluent, or AWS Kinesis. · Data Lakehouse : Manage and optimize cloud storage using ADLS Gen2 and S3, implementing ACID transactions with Delta Lake or Apache Iceberg. · Advanced Data Modeling: Design highly performant schemas for cloud data warehouses like Snowflake, Amazon Redshift, or Google BigQuery. · Data Transformation & Quality: Use dbt (data build tool) for modeling and implement automated quality checks using Great Expectations or Soda. · Infrastructure & CI/CD: Deploy and manage data infrastructure using Terraform or CloudFormation, and maintain CI/CD pipelines via GitHub Actions or GitLab CI. Technical Stack Requirements · Cloud Platforms: Deep hands-on experience with Microsoft Azure (ADF, Synapse, Databricks) and AWS (S3, Glue, Athena, Lambda). · Programming: Strong proficiency in Python (PySpark, FastAPI), SQL, and familiarity with Java or Scala. · Big Data Tools: Experience with Apache Spark, Apache Flink, and Hadoop ecosystem. · Databases: Strong knowledge of both Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, or DynamoDB) databases. · Containerization: Proficiency with Docker and Kubernetes (K8s) for deploying data services. · Observability: Familiarity with monitoring tools like Prometheus, Grafana, or Datadog to track pipeline health. #LI-SS1 You will be successful in this role if you have: Experience: 2- 4years of professional experience in data engineering, backend engineering, or a related field. · Education: Bachelor’s Engineering, · Methodology: Strong understanding of Agile methodologies and the abili

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