Urgent Search: Data Engineer with Java Backend

2 weeks ago

Mumbai, India SRS Consulting Inc Full time

Hello Connections We are hiring for "Data Engineer+Java". Exp: 4+Years Loc: Pune (Hybrid) Interview: F2F drive on 10th Oct and 11th Oct (All rounds till HR discussion) Shift Timings: General Shift Notice Period: Immediate joiners(notice period served or serving candidate) Mandatory Skills: - Data Engineer - ETL Pipelines - Java Coding (atleast 6months to 1Year) - DBT (Data Build Tool) - Apache Airflow NOTE: We are looking for Immediate joiners(notice period served or serving candidate) Apply only If you are Immediate joiners(notice period served or serving candidate) Apply only if you are having 4+Years of relevant experience into the above mentioned mandatory skills. Key Responsibilities: - Design, implement, and optimize ETL/ELT pipelines using DBT for data modeling and transformation. - Develop backend components and data processing logic using Java. - Build and maintain DAGs in Apache Airflow for orchestration and automation of data workflows. - Ensure the reliability, scalability, and efficiency of data pipelines for ingestion, transformation, and storage. - Work with cross-functional teams to understand data needs and deliver high-quality solutions. - Troubleshoot and resolve data pipeline issues in production environments. - Apply data quality and governance best practices, including validation, logging, and monitoring. - Collaborate on CI/CD deployment pipelines for data infrastructure. Required Skills & Qualifications: - 4+ years of hands-on experience in data engineering roles. - Strong experience with DBT for modular, testable, and version-controlled data transformation. - Proficient in Java, especially for building custom data connectors or processing frameworks. - Deep understanding of Apache Airflow and ability to design and manage complex DAGs. - Solid SQL skills and familiarity with data warehouse platforms (e.g., Snowflake, Redshift, BigQuery). - Familiarity with version control tools (Git), CI/CD pipelines, and Agile methodologies. - Exposure to cloud environments like AWS, GCP, or Azure. Feel free to Connect with me on for any clarification that you might be needed

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