Data Engineer

Kinetic Retail is a leading innovator in retail analytics, dedicated to transforming how businesses understand and interact with their customers. Our mission is to empower retailers with data-driven insights that drive growth, optimize operations, and enhance the customer experience. We are a fast-paced, dynamic company experiencing significant growth, and we pride ourselves on a culture of collaboration, continuous learning, and innovation. Our Bengaluru office is a hub of technological excellence, where diverse teams work together on challenging projects that have a tangible impact on the retail landscape. We believe in fostering an environment where talented individuals can thrive, develop their skills, and contribute to groundbreaking solutions. This role offers the opportunity to be a key player in shaping our data infrastructure and significantly influence our product offerings in a rapidly evolving industry.

• Design, develop, and maintain scalable and robust data pipelines for ingesting, transforming, and loading large datasets from various sources.
• Implement and optimize ETL/ELT processes using tools like Apache Spark, Airflow, and Kafka to ensure data accuracy and efficiency.
• Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications for data solutions.
• Develop and manage data warehouses and data lakes, ensuring data quality, consistency, and accessibility for reporting and analytical purposes.
• Monitor and troubleshoot data pipeline issues, ensuring timely resolution and continuous improvement of data infrastructure.
• Contribute to the design and implementation of data governance policies and best practices to maintain data integrity and security.
• Evaluate and recommend new data technologies and tools to enhance our data platform capabilities and stay ahead of industry trends.
• Participate in code reviews, mentor junior team members, and promote a culture of technical excellence within the data engineering team.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field with 4-6 years of experience in data engineering.
• Proven expertise in designing and building scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.
• Strong proficiency in programming languages like Python or Java, with a focus on data manipulation and automation.
• Extensive experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Hands-on experience with cloud platforms like AWS, Azure, or GCP, particularly with services related to data storage, processing, and warehousing.
• Familiarity with data warehousing concepts and experience with data modeling techniques for analytical databases.
• Solid understanding of ETL/ELT processes and data integration patterns.
• Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment.

• Competitive annual salary ranging from INR 22 – 32 LPA, commensurate with experience and skills.
• Comprehensive health and dental insurance coverage for employees and their families.
• Generous paid time off, including vacation, sick leave, and public holidays.
• Opportunities for professional development, including mentorship programs, workshops, and industry conferences.
• Flexible hybrid work model, allowing for a balance of in-office collaboration and remote work flexibility.
• Employee stock option plan, providing an opportunity to share in the company's success.
• A vibrant and inclusive work environment with regular team-building activities and social events.