Job Title: Data Engineer

Hiring Location: Bangalore, Chennai, Hyderabad, Kochi, Trivandrum, Pune, Noida

Experience Range:

4+ years of experience as a Data Engineer or in a similar role

Must-Have Skills:

Big Data Processing: Hands-on experience with PySpark Cloud Platforms: Experience with Google Cloud Platform (GCP) or any other cloud provider Data Pipeline Development: Expertise in Spark, Hadoop, Hive Database & Querying: Strong proficiency in SQL Collaboration & Requirements Gathering: Ability to work with product managers and data stewards to translate data requirements into efficient workflows

Good-to-Have Skills:

Experience with other cloud platforms like AWS or Azure Familiarity with ETL tools and frameworks Knowledge of data governance and data quality best practices Exposure to real-time data processing technologies (Kafka, Flink, etc.)

Key Responsibilities:

Design, implement, and optimize scalable data pipelines using Spark, Hadoop, Hive, and other technologies Develop and maintain ETL processes for efficient data ingestion and transformation Monitor and troubleshoot data pipelines to ensure high availability and minimal downtime Work closely with cross-functional teams to understand data needs and deliver effective solutions Optimize query performance and data storage strategies for improved efficiency Ensure data integrity, quality, and security in compliance with best practices

Soft Skills & Competencies:

Strong problem-solving skills and ability to work in a collaborative environment Excellent communication skills, both written and verbal Ability to adapt to evolving technologies and business needs

Education & Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field Experience working in Agile or DevOps environments is a plus