Inshorts - Data Engineer

Company Profile:- Inshorts - https://inshorts.com/

Role : Data Engineer

Work Mode- 5 Days Onsite

Tech Stacks- Data engineer cum data analyst
ETL + regression + classification + analytics

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.

Keyskills for data engineer - Python, PySpark, SQL, NoSQL, Airflow with bonus of ML/Data Modelling/Statistical Modelling/Looker/PowerBI

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).