Data Engineer

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 & AnalystWe're seeking a skilled Data Engineer & Analyst to join our team and build robust data infrastructure. You'll design, develop, and maintain data pipelines to support our data-driven initiatives.ResponsibilitiesETL 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.RequirementsExperience 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 QualificationsExperience 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., T ableau, Power BI, Looker Pro).

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