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4 weeks ago
Data Engineer is required to be proactive in designing, building and maintaining datasystems. The role also requires cross-functional collaborations and ensure higheststandards of data quality and performance by extending his expertise in data engineering,data architecture, pipeline creation and big data technologies.Responsibilities● Understand the values and vision of the organization● Protect the Intellectual Property● Adhere to all the policies and procedures● Design, develop, and maintain scalable data pipelines for data ingestion,processing and storage.● Build and optimize data architectures and data models for efficient data storageand retrieval.● Develop ETL processes to transform and load data from various sources into datawarehouses and data lakes.● Ensure data integrity, quality, and security across all data systems.● Collaborate with data scientists, analysts, and other stakeholders to understanddata requirements and deliver solutions that meet business needs.● Monitor and troubleshoot data pipelines and workflows to ensure high availabilityand performance.● Document data processes, architectures, and data flow diagrams.● Implement and maintain data integration solutions using industry-standard toolsand technologies (e.g., Apache Spark, Kafka, Airflow).Essential SkillsJob● Expertise on Data Integration, processing & Storage.● Expertise on Data optimization architecture, data process and data flow.● Knowledge of Data integration tools like Apache Spark, Kafka & Airflow.● Proficiency in SQL and at least one programming language (e.g., Python, Scala).● Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their dataservices.● Experience with data visualization tools (e.g., Tableau, Power BI).Personal● Excellent communication and interpersonal skills, with the ability to engage withall levels of employees and management.● Collaborative approach to effectively present and advocate for quick designsolutions.● Stay updated on the latest design trends, tools, and technologies, bringinginnovative ideas to enhance the product experience.● A proactive approach to problem solving, with a focus on delivering exceptionalcustomer satisfaction.Preferred SkillsJob● Strong knowledge of data management, processing, Architecture and design.● Sound knowledge of data integration tools like Apache Spark, Kafka & Airflow.● Identify and resolve customer challenges with a focus on providing high-qualityservice and solutions.Personal
• Demonstrate proactive thinking
• Strong communication and collaboration skills.
• Should have strong interpersonal relations, expert business acumen and mentoringskills
• Strong problem-solving skills with attention to detail.
• Have the ability to work under stringent deadlines and demanding clientconditions.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.Other Relevant Information● Bachelor's degree in computer science, Information Technology, or a related field.● Minimum 4 years of experience in data engineering & architecture.● This role offers the flexibility of working remotely in India.RegardsSahiba
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