**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. **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