Snowflake Data Engineer

2 weeks ago

Delhi Division, India EGISEDGE TECHNOLOGIES PVT LTD Full time

Responsibilities :- Design and build scalable data pipeline architecture that can handle large volumes of data- Develop ELT/ETL pipelines to extract, load and transform data from various sources into our data warehouse- Optimize and maintain the data infrastructure to ensure high availability and performance- Collaborate with data scientists and analysts to identify and implement improvements to our data pipeline and models- Develop and maintain data models to support business needs- Ensure data security and compliance with data governance policies- Identify and troubleshoot data quality issues- Automate and streamline processes related to data management- Stay up-to-date with emerging data technologies and trends to ensure the continuous improvement of our data infrastructure and architecture.- Analyze the data products and requirements to align with data strategy- Assist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teams- Enhance the efficiency, automation, and accuracy of existing reports- Follow best practices in data querying and manipulation to ensure data integrityRequirements :- Must have 8+ years of experience as a Snowflake Data Engineer or related role- Must have experience with Snowflake- Strong Snowflake experience building, maintaining and documenting data pipelines- Expertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these features- Strong SQL development experience including SQL queries and stored procedures- Strong knowledge of ELT/ETL no-code/low-code tools like Informatica / SnapLogic.- Well versed in data standardization, cleansing, enrichment, and modeling- Proficiency in one or more programming languages such as Python, Java, or C#- Experience with cloud computing platforms such as AWS, Azure, or GCP- Knowledge of ELT/ETL processes, data warehousing, and data modeling- Familiarity with data security and governance best practices- Excellent hands-on experience in problem-solving and analytical skills and improving the performance of processes (ref:hirist.tech)

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