Data Engineer

Job Title: Data Engineer

Job Type: Full-time,(8hours/day)

Location: Hybrid – Delhi, Pune

Job Summary:

Join our customer’s team as a Data Engineer and help shape next-generation data solutions driving critical business initiatives. You'll bring your expertise in SQL, Python, and Py Spark to architect robust data pipelines and streamline analytics processes in a collaborative, future-focused environment. This is a fantastic opportunity for data professionals with 3-8 years of experience seeking to make a direct impact within dynamic, high-performing teams.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL processes using Py Spark and Python.
• Develop and optimize complex SQL queries to support data extraction, transformation, and loading for large-scale analytics projects.
• Collaborate with cross-functional teams to understand data requirements and deliver insightful, actionable solutions.
• Implement data quality checks and ensure integrity and reliability across all data systems.
• Continuously improve data workflows, automation, and performance tuning for enhanced efficiency.
• Document data structures, processes, and best practices for technical and non-technical audiences.
• Actively participate in code reviews, knowledge sharing, and team development activities.

Required Skills and Qualifications:

• 3-8 years of hands-on experience in data engineering roles.
• Proficiency in SQL for data manipulation and complex queries.
• Advanced coding skills in Python, with practical exposure to Py Spark.
• Strong understanding of data warehousing concepts and big data technologies.
• Demonstrated ability to communicate clearly and effectively in both written and verbal formats.
• Experience working in hybrid or cross-location teams within a fast-paced environment.
• Detail-oriented mindset with a passion for delivering high-quality data solutions.

Preferred Qualifications:

• Prior experience with cloud-based data platforms (AWS, Azure, or GCP).
• Background in developing data products or analytical tools for enterprise-level organizations.
• Relevant certifications in data engineering or big data technologies.