Data Engineer

We are looking for a Data Engineer with 2-3 years of experience to join our team. You will be responsible for building and maintaining scalable data pipelines, ensuring data quality, and collaborating with data scientists and analysts to enable data-driven decision-making across the organization.

Responsibilities:

• Design, build, and maintain data pipelines for data collection, processing, and analysis.

• Ensure data quality and accuracy through effective data validation and testing processes.

• Collaborate with cross-functional teams to integrate data solutions into business processes.

• Optimize data workflows and improve data processing efficiency.

Requirements:

• 2-3 years of experience as a Data Engineer.

• Proficiency in SQL and Python, experience with ETL tools.

• Familiarity with cloud platforms (eg, AWS, Azure) and data storage technologies (eg, Hadoop, Spark).

• Knowledge of data modeling and database design.

• Experience with data warehousing and cloud data technologies is a plus.

Job Description (4-7 years experience):

We are seeking a skilled Data Engineer with 4-7 years of experience to join our growing team. You will be responsible for the architecture, design, and implementation of complex data systems and pipelines. You will work closely with data scientists and analysts to ensure seamless data flow and integration to support analytics and business intelligence initiatives.

Responsibilities:

• Design and implement robust and scalable data pipelines for large-scale data processing.

• Work with cloud platforms (AWS, GCP, Azure) and big data tools to process and store large datasets.

• Collaborate with cross-functional teams to gather requirements and deliver data solutions.

• Monitor and troubleshoot data pipelines to ensure reliable data availability.

Requirements:

• 4-7 years of experience in Data Engineering.

• Strong proficiency in SQL, Python, and data pipeline orchestration tools.

• Experience with cloud data technologies, ETL processes, and data warehousing solutions.

• Knowledge of distributed computing frameworks (eg, Hadoop, Spark).

• Experience with version control (eg, Git) and agile methodologies.