Analytics Engineer

Design, develop, and maintain scalable data pipelines and ELT processes to transform raw data into usable formats Build and optimize data models for analytical and operational use cases Collaborate with data analysts, data scientists, and other stakeholders to understand data needs and deliver high-quality, reliable data solutions Ensure data quality and integrity by implementing best practices for data validation, testing, and documentation Develop and maintain data infrastructure and tooling to support analytics workflows Monitor and troubleshoot data pipelines to ensure smooth operation and timely delivery of data Implement and enforce data governance and security measures Qualifications Around 4-5 years of experience in the Data Engineering Domain Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field A Master's degree is a plus Proven experience as an Analytics Engineer, Data Engineer, or a similar role Strong proficiency in SQL and experience with data modeling and schema design, such as star and snowflake Experience with ELT tools and data pipeline frameworks (eg Apache Airflow, dbt, Fivetran) Proficiency in programming languages such as Python or R Familiarity with cloud data warehousing solutions (eg Snowflake, Big Query, Redshift) Knowledge of data visualization tools (eg Tableau, Looker, Power BI) is a plus Strong problem-solving skills and attention to detail Excellent communication and collaboration skills Preferred Skills Experience with big data technologies (eg Hadoop, Spark) Knowledge of machine learning concepts and tools Familiarity with data governance and compliance standards Ability to work in an agile environment Benefitspetitive salary and benefits package Opportunity for professional growth and development Collaborative and inclusive work environment Flexible work arrangements