Senior Data Engineer

About the job

You will be part of the Data Platform & Product Insights data engineering team at automotiveMastermind, a leading provider of predictive analytics and marketing automation solutions for the automotive industry. Your role will involve working in a cloud native environment to: - Build & support data ingestion and processing pipelines in the cloud, extracting, loading, and transforming 'big data' from various sources using the latest data frameworks and technologies. - Partner with the product team to assemble large, complex data sets meeting functional and non-functional business requirements, ensure the creation of Data Dictionaries/Data Catalogue, and provide detailed documentation around data assets, metrics, and KPIs. - Warehouse data, build data marts, data aggregations, metrics, KPIs, and business logic to derive actionable insights into product efficacy, marketing platform, customer behavior, and retention. - Develop real-time monitoring dashboards and alerting systems. Qualifications required for this role: - 6 to 8 years of experience in Big Data and Data Engineering. - Strong knowledge of advanced SQL, data warehousing concepts, and DataMart designing. - Proficient in programming skills such as SQL, Python, etc. - Experience in designing and developing data pipelines, ETL/ELT processes on-premises/cloud. - Familiarity with at least one of the cloud providers GCP, Azure, AWS. - Experience with relational SQL and NoSQL databases, including Postgres. - Proficiency in workflow management tools like AWS data pipeline, Google Cloud Composer, etc. Additionally, exposure to Business Intelligence (BI) tools like Tableau, Dundas, Power BI, Agile software development methodologies, and a Bachelor's or an advanced degree in Computer Science or a related engineering discipline are preferred. On a hybrid model, you will work twice a week from the office with a shift time of 12 pm to 9 pm IST. S&P Global, the parent company of automotiveMastermind, is committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. They offer various benefits such as health & wellness programs, flexible downtime, financial planning assistance, and beyond basic perks to support their employees' overall well-being.

Requirements

• Big Data
• Data Engineering
• SQL
• Python
• ETL/ELT Processes

Qualifications

• Bachelor's degree in Computer Science
• Advanced degree in related engineering discipline

Preferred Technologies

• Big Data
• Data Engineering
• SQL
• Python
• ETL/ELT Processes

Benefits

• Health & wellness programs
• Flexible downtime
• Financial planning assistance

About the company

automotiveMastermind is a leading provider of predictive analytics and marketing automation solutions specifically tailored for the automotive industry, enhancing business operations and customer interactions.