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Director

3 months ago


Hyderabad, Telangana, India IKS Health Full time

Role : Director GCP Data Engineering

Requirements:

Minimum years of total experience with years minimum on GCP cloud technologies Provided technical guidance and mentorship to junior team members, facilitating their professional growth and development. Google Cloud Platform (GCP): Expertise in leveraging GCP services for building scalable and cost-effective data solutions. Proficiency in utilizing various GCP services for data processing, storage, and analytics, including: BigQuery Dataflow Dataproc Bigtable Pub/Sub Storage (Cloud Storage, Cloud SQL, Cloud Spanner) Data Catalog Data Studio (for data visualization Data Modeling and Database Design: Proficient in designing data models that meet business requirements and optimize for performance, scalability, and flexibility. Understanding of data modeling techniques and Familiarity with both relational and NoSQL databases. Big Data Technologies: Experience with GCP big data services such as BigQuery, Dataflow, Dataproc, and Bigtable for processing and analyzing large volumes of data. Knowledge of big data processing frameworks and technologies such as Apache Hadoop, Apache Spark, and Apache Beam, and their integration with GCP services. Data Warehousing: Knowledgeable in designing and implementing data warehousing solutions using Google BigQuery or other GCP services for structured data analysis and reporting. ETL/ELT Processes: Skilled in designing and implementing ETL/ELT processes to extract, transform, and load data from various sources into GCP data storage and processing systems. Data Governance and Security: Familiar with implementing data governance policies, access controls, encryption, and compliance standards to ensure data security and regulatory compliance. Real-time Data Processing: Experience in designing real-time data processing solutions using GCP services like Dataflow, Pub/Sub, and Bigtable for processing streaming data and generating insights in real-time. Data Visualization: Proficient in data visualization tools like Google Data Studio, Looker, or Tableau for creating interactive dashboards and reports to visualize insights from data. Data Pipelines Orchestration: Skilled in orchestrating data pipelines using tools like Apache Airflow or Cloud Composer for managing workflow dependencies and scheduling data processing tasks. Monitoring and Optimization: Proficiency in monitoring data pipelines and systems for performance, reliability, and cost optimization. Experience in troubleshooting and optimizing data processing workflows for efficiency and scalability. Programming Languages: Proficiency in programming languages commonly used in data engineering tasks, such as Python, Java, or Scala. Experience in writing and optimizing SQL queries. Collaboration and Communication: Strong interpersonal skills and ability to collaborate effectively with cross-functional teams including data scientists, analysts, and developers. Good communication skills to convey technical concepts to non-technical stakeholders. Continuous Learning: Willingness to stay updated with the latest advancements in data engineering, cloud technologies, and best practices through continuous learning and professional development.