Urgent! Data Engineer - Snowflake DB Job Opening In india, India – Now Hiring Risk Resources LLP
<p><b>Overview :</b><br/><br/>The Data Engineer specializing in Snowflake, Azure, and AWS technologies plays a crucial role in designing, developing, and maintaining scalable data solutions to meet the organization's evolving data needs.
The role requires expertise in a range of data engineering tools and platforms for managing and transforming large sets of structured and unstructured data.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design and develop data pipelines using Snowflake, Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.<br/><br/>- Implement, maintain, and optimize data infrastructure on AWS, including Redshift, EMR, and Glue.<br/><br/>- Collaborate with data scientists and analysts to understand data requirements and implement the necessary data transformations and integrations.<br/><br/>- Ensure data quality and reliability by designing and implementing data cleansing and validation processes.<br/><br/>- Develop and maintain ETL processes using Informatica and DataStage to extract, transform, and load data from various sources.<br/><br/>- Optimize query performance and data distribution on Snowflake to ensure efficient data access and processing.<br/><br/>- Implement best practices for data security, encryption, and access control on Azure and AWS platforms.<br/><br/>- Participate in the evaluation and selection of new data management and analytics technologies to meet evolving business needs.<br/><br/>- Document data architecture, data flows, and data processes to facilitate knowledge sharing and collaboration.<br/><br/>- Provide technical guidance and support to junior data engineering team members.<br/><br/>Required Qualifications :<br/><br/>- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.<br/><br/>- Proven experience in designing and implementing data solutions on Snowflake, Azure, and AWS platforms.<br/><br/>- Expertise in using Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics for data management and analytics.<br/><br/>- Demonstrated proficiency in working with AWS Redshift, EMR, and Glue for data warehousing and ETL processes.<br/><br/>- Strong understanding of data integration and transformation using Informatica and DataStage.<br/><br/>- In-depth knowledge of SQL and programming languages such as Python or Java for data manipulation and automation.<br/><br/>- Experience in optimizing Snowflake data warehouse performance and scalability.<br/><br/>- Familiarity with data modeling, schema design, and data governance best practices.<br/><br/>- Ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.<br/><br/>- Strong problem-solving skills and the ability to troubleshoot and optimize complex data pipelines.<br/><br/>- Experience with version control systems and continuous integration/continuous deployment (CI/CD) processes for data engineering projects.<br/><br/>- Certifications in relevant cloud platforms (e.g., Microsoft Azure, Amazon Web Services) and data engineering tools.<br/><br/>- Excellent written and verbal communication skills.<br/><br/>- Ability to adapt to new technologies and learn continuously in a fast-paced, dynamic environment.</p> (ref:hirist.tech)
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
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Great news! Risk Resources LLP is currently hiring and seeking a Data Engineer Snowflake DB to join their team. Feel free to download the job details.
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