Robust Programming and Scripting Skills: Proficiency in programming languages such as Python, SQL, or Scala, as well as experience with scripting and automation tools, for data manipulation, ETL processes, and pipeline development.
•Experience with Azure cloud, Azure data bricks, SQL , Spark, Scala or Python
•Experience in Jira, Github, DevOps tools
•Data Integration and ETL Tools: Familiarity with tools and frameworks for data integration and ETL processes, such as Apache Kafka, Apache Spark, Apache Airflow, or Talend.
•Data Modeling and Database Design: Knowledge of data modeling concepts, dimensional modeling, and schema design to create effective and scalable database structures.
•Big Data Technologies: Experience with big data platforms and technologies like Apache Hadoop, Apache Hive, Apache HBase, or Apache Cassandra for handling large volumes of data.
•Cloud Platforms:



Familiarity with cloud platforms and related services for data storage, processing, and analytics.
•Data Governance and Security: Understanding of data governance principles, data security best practices, and compliance requirements to ensure data integrity, privacy, and regulatory compliance.
•Problem-solving and Analytical Thinking: Solid problem-solving skills, attention to detail, and analytical thinking to identify and resolve data-related issues and optimize data pipelines.
•Communication and Collaboration: Excellent communication skills to effectively collaborate with cross-functional teams, including data analysts, data scientists, and stakeholders, and to explain complex technical concepts to non-technical stakeholders.

📌 Data Engineer Hyderabad
🏢 Cloudxtreme
📍 Hyderabad