Responsible for building and managing scalable cloud-based ETL/ELT data pipelines, supporting data ingestion, storage, and analytics. The role involves working with cloud data platforms, optimizing performance and costs, and leveraging SQL, cloud services, and modern data orchestration tools to deliver reliable data solutions.
Key Responsibilities
- Design and deploy automated ETL/ELT pipelines to ingest data from various sources (APIs, databases, logs) into cloud data warehouses.
- Maintain cloud storage solutions (Data Lakes and Data Warehouses).
- Monitor and tune query performance and cloud resource consumption to manage costs
Required Skills and Qualifications
- Educational Background: Bachelor s degree in computer science, Information Technology, or a related field.
- Technical Skills:
1. Cloud Platforms: AWS (Redshift, S3, Glue)
/ Azure (Data Factory, Synapse) / GCP (BigQuery, Dataflow).
2. Languages: Advanced SQL (essential) and Python or Scala.
3. Data Processing: Apache Spark, Flink, or Kafka for real-time streaming.
4. Orchestration: Apache Airflow, dbt, or Prefect
- Soft Skills: Excellent communication, teamwork abilities, and solid analytical and problem-solving skills.
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📌 Azure Data Engineer (Hyderabad)
🏢 Paltech
📍 Hyderabad
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