Data Engineer

# Data Engineer A sportswear brand in Indi ## Company Overview *Not specified* ## Job Summary The role involves designing, building, and maintaining scalable data pipelines, models, and storage solutions to support the company's data-driven initiatives. The successful candidate will play a key role in ensuring data reliability, efficiency, and security, contributing to the growth and expansion of the organization. ## Responsibilities - Design, build, and maintain **efficient and scalable data pipelines** that collect, transform, and load data. - Develop **Logical Data Models** and **Physical Data Models**, including data warehouse designs. - Implement **monitoring and alerting systems** to ensure data pipeline reliability and perform routine maintenance tasks. - Collaborate with upstream and downstream teams to ensure **end-to-end execution** of data pipelines. - Help set up processes and streamline workflows to support team expansion and cross-team collaboration. - Optimize data processing and storage solutions for **efficiency and scalability**, working with large volumes of data. - Demonstrate understanding of modern data technologies such as **Spark, Flink, Iceberg, Parquet**, etc. ## Qualifications - **Educational Qualification:** Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related field. - **Experience:** 3-6 years of experience working on **ETL pipelines**. - **Technical Skills:** - Strong programming skills in **Python** for data manipulation and transformation. - In-depth knowledge of **NoSQL** or **relational databases** and data modeling. - Experience with **workflow management tools** like **Apache Airflow**. - Ability to contribute across all phases of development, including design, implementation, and operation of production systems. - Solid understanding of **Object-Oriented Design** principles and writing high-quality code. - Ability to handle **ambiguous or undefined problems** effectively. - Understanding of **data security and privacy principles**. ## Preferred Skills *Not specified* ## Experience - **3 to 6 years** of relevant experience in **ETL pipeline development** and data engineering roles. ## Environment - The role involves working in a collaborative environment, likely involving cross-functional teams. - Location and work setting are **not specified**, but the candidate should be adaptable to in-office, remote, or hybrid work arrangements. - The role requires working with large datasets and modern data technologies, emphasizing efficiency and scalability. ## Salary *Not specified* ## GrowthOpportunities *Not specified* ## Benefits *Not specified*