Sr. Data Engineer, Analytics Engineering

morningstar

Mumbai, India 5 Years Exp Posted 15d ago

Job Description

Primary Job Responsibilities

  • Apply unified data technologies to support advanced and automated business analytics

  • Design, develop, document, and maintain database and reporting structures used to compile insights

  • Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions

  • Consistently evolve data processes and techniques following industry best practices

  • Build data models to be used for reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives

  • Contribute to the ongoing improvement of quality assurance standards and procedures

  • Support the vision and values of the company through role modeling and encouraging desired behaviors

  • Participate in various company initiatives and projects as requested

 

Skills and Qualifications

  • Bachelor's degree in a related field (Computer Science, Engineering, etc.)

  • 5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture

  • 5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting

  • 3+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis

  • Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka)

  • Experience with tools that capture and control data modeling change management (e.g. SQLMesh)

  • Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake)

  • Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards

  • Exceptional problem-solving skills

  • Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders

    • Experience working with enterprise technologies (CRM, ERP, Marketing Automation Platforms, Financial Systems, etc.) is a plus

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