Big Data Developer

Job Description We are looking for data engineers who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning. Build products in the data analytics space. A passion for shipping high-quality data products, interest in the data products space; curiosity about the bigger picture of building a company, product development and its people. Share your resume at [HIDDEN TEXT] *Roles & Responsibilities* Design, develop, and manage robust ETL pipelines using Apache Spark (Scala) Demonstrate a strong understanding of Spark internals, performance optimization techniques, and governance tools Build scalable, fault-tolerant, and high-performance data pipelines for Enterprise Data Warehouses, Data Lakes, and Data Mesh architectures Collaborate with cross-functional teams to design and deliver effective data solutions Implement orchestration workflows using AWS Step Functions Leverage AWS Glue and Crawlers for automated data cataloging Monitor, troubleshoot, and optimize pipeline performance and data quality Maintain high coding standards and produce clear, comprehensive documentation Actively contribute to High-Level Design (HLD) and Low-Level Design (LLD) discussions *Technical Skills Required* Minimum 5+ years of hands-on experience in Big Data / Data Engineering Strong expertise in building scalable, reliable ETL pipelines At least 4+ years of hands-on experience with Python, Apache Spark, and Kafka Strong command of AWS services, including EMR, Redshift, Step Functions, AWS Glue, and AWS Crawler Solid hands-on experience with SQL and NoSQL databases Strong understanding of Data Warehousing, Data Modeling, and ETL concepts Familiarity with HLD and LLD design principles Excellent written and verbal communication skills Preference Minimum 5 years of relevant experience in the same field Immediate joiner or Maximum 1 Month Notice Period is preffered Salary offered would be upto 25 LPA and negotiable depending on the experience