Job Description

**Description**



+ Lead the design, development, and implementation of scalable data pipelines and ELT processes using Databricks, DLT, dbt, Airflow, and other tools.

+ Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions.

+ Optimize and maintain existing data pipelines to ensure data quality, reliability, and performance.

+ Develop and enforce data engineering best practices, including coding standards, testing, and documentation.

+ Mentor junior data engineers, providing technical leadership and fostering a culture of continuous learning and improvement.

+ Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to business operations.

+ Stay up to date with the latest industry trends and technologies, and proactively recommend improvements to our data engineering practices.



**Qualifications**



+ Systems (MIS), Data Science or related field.

+ 15 years of experience in data engineering and/or architecture, with a focus on big data technologies.

+ Extensive production experience with Databricks, Apache Spark, and other related technologies.

+ Familiarity with orchestration and ELT tools like Airflow, dbt, etc.

+ Expert SQL knowledge.

+ Proficiency in programming languages such as Python, Scala, or Java.

+ Strong understanding of data warehousing concepts.

+ Experience with cloud platforms such as Azure, AWS, Google Cloud.

+ Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

+ Strong communication and leadership skills, with the ability to effectively mentor and guide

+ Experience with machine learning and data science workflows

+ Knowledge of data governance and security best practices

+ Certification in Databricks, Azure, Google Cloud or related technologies.



This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
**Job** Information Technology
**Primary Location** India-Maharashtra-Mumbai
**Schedule:** Full-time
**Travel:** No
**Req ID:** 250903
**Job Hire Type** Experienced Not Applicable #BMI N/A

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