Data Engineer

Location: Cochin
Employment Type: Full-timeDepartment: Data Engineer

About Us

Digitrell, a JoeNJack Touch Venture, is a leading digital transformation company specializing in web development, mobile app development, data solutions, SAP implementation, and IT support.

At Digitrell, we’re building the future of content creation through cutting-edge Generative AI. Our focus lies in combining creativity with AI-powered tools to bring visionary storytelling to life—at scale and speed. From realistic visuals to immersive video experiences, we’re on a mission to redefine what’s possible with prompt engineering and generative video technology.

We are seeking an experienced and driven Data Engineer with 3-5 years of hands-on experience in building scalable data infrastructure and systems. You will play a key role in designing and developing robust, high-performance ETL pipelines and managing large-scale datasets to support critical business functions. This role requires deep technical expertise, strong problem-solving skills, and the ability to thrive in a fast-paced, evolving environment.

Key Responsibilities

1) Design, develop, and maintain scalable and reliable ETL/ELT pipelines for processing large volumes of data (terabytes and beyond).
2) Model and structure data for performance, scalability, and usability.3) Work with cloud infrastructure (preferably Azure) to build and optimize data workflows.4) Build and manage data lake/lakehouse architectures in alignment with best practices.5) Optimize ETL performance and manage cost-effective data operations.6) Collaborate closely with cross-functional teams including data science, analytics, and software engineering.7) Ensure data quality, integrity, and security across all stages of the data lifecycle.

Required Skills & Qualifications

1) 3 to 5 years of relevant experience in data engineering.
2) Advanced proficiency in Python, including libraries such as Pandas and NumPy.3) Strong skills in SQL for complex data manipulation and analysis.4) Hands-on experience with Apache Spark, Hadoop, or similar distributed systems.5) Proven track record of handling large-scale datasets (TBs) in production environments.6) Cloud development experience with Azure(preferred), AWS, or GCP.7) Solid understanding of data lake and data lakehouse architectures.8) Expertise in ETL performance tuning and cost optimization techniques.9) Knowledge of data structures, algorithms, and modern software engineering practices.

Soft Skills

1) Strong communication skills with the ability to explain complex technical concepts clearly and concisely.
2) Self-starter who learns quickly and takes ownership.3) High attention to detail with a strong sense of data quality and reliability.4) Comfortable working in an agile, fast-changing environment with incomplete requirements.

Preferred Qualifications

1) Experience with tools like Azure Data Factory, or similar.
2) Familiarity with CI/CD and DevOps in the context of data engineering.3) Knowledge of data governance, cataloging, and access control principles.

Job Types: Full-time, Permanent

Pay: ₹1,000,000.00 - ₹1,200,000.00 per year

Work Location: In person

Application Deadline: 28/07/2025
Expected Start Date: 28/07/2025