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Lead Data Engineer

3 months ago

Gurugram, India USEReady Technology Pvt. Ltd. Full time

Useready is hiring for Lead Data Description :

- Mentor a team of developers in building and maintaining high-quality, scalable, and secure data pipelines and analytics applications on the Databricks platform

- Work closely with data engineers, business stakeholders to understand their needs and design and develop solutions that meet those needs

- Design, develop, and test data pipelines and analytics applications using Databricks and other relevant technologies

Responsibilities :

Technical Leadership :

- Lead and mentor a team of data engineers, providing guidance and support on technical aspects and best practices.

- Define and implement the data architecture for the organization, ensuring scalability, performance, and security.

- Evaluate and adopt new technologies and tools within the Databricks ecosystem.

Data Pipeline Development :

- Design and develop complex data pipelines for ingesting, processing, and transforming large datasets.

- Ensure data quality and consistency throughout the data pipeline.

- Optimize data pipelines for performance and resource efficiency.

Collaboration and Communication :

- Collaborate with cross-functional teams (business stakeholders, downstream user teams) to understand data needs and translate them into technical implementation.

- Communicate effectively with stakeholders about data architecture, pipeline design, and operational challenges.

- Document data pipelines and procedures for maintainability and knowledge sharing.

Problem-Solving and Innovation :

- Identify and troubleshoot issues within the data pipelines and infrastructure.

- Proactively propose improvements and optimizations to the data platform.

- Stay up-to-date on the latest trends and advancements in big data technologies.

Qualifications :

- 8 + years of experience as a data engineer, with at least 2 years in a lead role.

- Proven experience working with the Databricks platform.

- Strong knowledge of big data technologies and frameworks (Spark, Kafka, etc.)

- Experience with cloud platforms (AWS, Azure, GCP) is a plus.

- Proficiency in programming languages like Python, Scala, or Java.

- Excellent communication and collaboration skills.

- Ability to work independently and as part of a team

Mandatory Skills :

- Data Lake, Data Pipeline, spark, data warehousing, Databricks certifications

(ref:hirist.tech)