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Immediate Hire - Core Java + AWS Location: Mumbai (Powai) - Work from office Salary : Up to 30 LPA Full Time with benefits Experience: 7-10 Years Interested candidates please share updated CV to hr@hmforward.com Inviting applications for the role of Principal Consultant- #AWS Developer We are seeking an experienced Developer with expertise in AWS-based big data solutions, particularly leveraging Apache #Spark on #AWSEMR , along with strong backend development skills in #Java and Spring. The ideal candidate will also possess a solid background in data warehousing, #ETL pipelines, and large-scale data processing systems.. Responsibilities • Design and implement scalable data processing solutions using Apache Spark on AWS EMR. • Develop #microservices and backend components using Java and the Spring framework. • Build, optimize, and maintain ETL pipelines for structured and unstructured data. • Integrate data pipelines with AWS services such as #S3 , #Lambda , #Glue , #Redshift , and #Athena . • Collaborate with data architects, analysts, and #DevOps teams to support data warehousing initiatives. • Write efficient, reusable, and reliable code following best practices. • Ensure data quality, governance, and lineage across the architecture. • Troubleshoot and optimize Spark jobs and cloud-based processing workflows. • Participate in code reviews, testing, and deployments in Agile environments. Qualifications we seek in you! Minimum Qualifications • Bachelor’s degree Preferred Qualifications/ Skills • Strong experience with Apache Spark and AWS EMR in production environments. • Solid understanding of AWS ecosystem, including services like S3, #Lambda , #Glue , #Redshift , and #CloudWatch . • Proven experience in designing and managing large-scale data warehousing systems. • Expertise in building and maintaining ETL pipelines and data transformation workflows. • Strong SQL skills and familiarity with performance tuning for analytical queries. • Experience working in Agile development environments using tools such as Git, JIRA, and CI/CD pipelines. • Familiarity with data modeling concepts and tools (e.g., Star Schema, Snowflake Schema). • Knowledge of data governance tools and metadata management. • Experience with containerization (Docker, Kubernetes) and serverless architectures. Show more Show less
