ADC Data Engineering Lead

3 weeks ago

Bangalore, India Growel Softech Pvt. Ltd. Full time

Job Description:

We are seeking an experienced ADC (Advanced Data Computing) Data Engineering Lead with 10-13 years of experience to join our team.

The ideal candidate will have a strong background in Big Data engineering, with expertise in tools such as Databricks, Azure Data Factory, and SQL.

As an ADC Data Engineering Lead, you will be responsible for leading a team of 3 to 4 engineers, ensuring timely delivery of high-quality solutions, and taking ownership of project Big Data Engineering: Utilize your extensive hands-on experience in the Big Data engineering space to design, develop, and maintain data pipelines, ETL processes, and data warehousing solutions.

- Tool Proficiency: Demonstrated expertise in Databricks, Azure Data Factory, and SQL is essential for this role.

- Experience with other Big Data technologies and platforms is a plus.

- Python Knowledge: While not mandatory, having knowledge of Python is beneficial.

- The candidate should be willing to learn Python on the job if not already proficient.

- Team Leadership: Lead a team of 3 to 4 data engineers, providing guidance, mentorship, and technical leadership.

- Ensure that the team meets project timelines, delivers high-quality solutions, and takes accountability for their work.

- Project Management: Collaborate with stakeholders to understand project requirements, prioritize tasks, and allocate resources effectively.

- Track project progress, identify risks, and take proactive measures to mitigate them.

- Quality Assurance: Implement best practices for data engineering, including data validation, testing, and documentation.

- Ensure that solutions adhere to industry standards and meet business requirements.

- Hybrid/Remote Work: This position offers flexibility in work mode, allowing for a hybrid or remote work arrangement.

- There are no location constraints for this role.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or related field.

- 10-13 years of experience in the Big Data engineering space, with a focus on data pipelines, ETL processes, and data warehousing solutions.

- Proficiency in Databricks, Azure Data Factory, and SQL is a must.

- Familiarity with Python is preferred, with a willingness to learn on the job if necessary.

- Proven leadership skills, with experience in leading a team of 3 to 4 engineers.

- Strong project management skills, with the ability to prioritize tasks, allocate resources, and track project progress.

- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.

- Experience in a hybrid or remote work environment is a plus.

(ref:hirist.tech)

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