Inshorts - Data Engineer

2 weeks ago


Noida, India Nexthire Full time

Company Profile: Inshorts is a leading tech company specializing in short-format informational content. Our platform delivers concise and engaging news stories and hyperlocal updates to users in a variety of formats. Role : Data Engineer We're seeking a skilled Data Engineer to join our team and build robust data infrastructure. You'll design, develop, and maintain data pipelines to support our data-driven initiatives. Responsibilities ● ETL Pipeline Development: Design, develop, and maintain efficient ETL pipelines to extract, transform, and load data from various sources into data warehouses (e.g., BigQuery, Redshift). ● Data Warehouse Management: Manage and optimize data warehouses for performance and scalability, ensuring data integrity and quality. ● Data Modeling: Create and maintain data models that align with business requirements and support analytical needs. ● SQL Optimization: Write optimized SQL queries to extract data efficiently and support complex analytical tasks. ● Data Quality Assurance: Implement data quality checks and validation processes to ensure data accuracy and consistency. ● Report Generation: Develop and maintain reports and dashboards to provide actionable insights to stakeholders. ● Collaboration: Work closely with data analysts, data scientists, and business teams to understand requirements and deliver data-driven solutions. Requirements ● 4+ years of experience in data engineering or a related field. ● Bachelor's degree in mathematics, computer science, or statistics. ● Strong proficiency in SQL and Python, with a focus on ETL tools and libraries (e.g., Airflow, Spark, Pandas). ● Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., BigQuery, Redshift). ● Familiarity with data modeling concepts, including dimensional and normalized modeling. ● Excellent problem-solving and analytical skills. ● Strong communication and collaboration skills. Preferred Qualifications ● Experience with cloud-based data platforms (e.g., GCP, AWS, Azure). ● Experience with data warehousing solutions (e.g., BigQuery , Redshift , Snowflake). ● Knowledge of machine learning and artificial intelligence. ● Experience with data visualization tools (e.g., Tableau, Power BI, Looker Pro).



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