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Lead Data Engineer - Data Integration

8 - 13 years

0 Lacs

Gurugram Haryana India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

data integration leadership technology design security reliability efficiency documentation flow engineering spark etl aws azure gcp dataflow sql querying communication python

Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for a skilled Lead Data Engineer to enhance our dynamic team. In this role, you will focus on designing, developing, and maintaining data integration solutions for our clients. Your leadership will guide a team of engineers in delivering scalable, high-quality, and efficient data integration solutions. This role is perfect for an experienced data integration expert who is passionate about technology and excels in a fast-paced, dynamic setting. Responsibilities Design, develop, and maintain data integration solutions for clients Lead a team of engineers to ensure high-quality, scalable, and efficient delivery of data integration solutions Collaborate with cross-functional teams to comprehend business requirements and design fitting data integration solutions Ensure the security, reliability, and efficiency of data integration solutions Develop and maintain documentation, including technical specifications, data flow diagrams, and data mappings Continuously update knowledge on the latest data integration methods and tools Requirements Bachelor's degree in Computer Science, Information Systems, or a related field 8-13 years of experience in data engineering, data integration, or a related field Proficiency in cloud-native or Spark-based ETL tools such as AWS Glue, Azure Data Factory, or GCP Dataflow Strong knowledge of SQL for querying and manipulating data Competency in Snowflake for cloud data warehousing Familiarity with at least one cloud platform such as AWS, Azure, or GCP Experience in leading a team of engineers on data integration projects Good verbal and written communication skills in English at a B2 level Nice to have Background in ETL using Python Show more Show less

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