Job
Description
Job Description : Position: Sr.Data Engineer Experience: Minimum 7 years Location: Hyderabad Job Summary: What Youll Do Design and build efficient, reusable, and reliable data architecture leveraging technologies like Apache Flink, Spark, Beam and Redis to support large-scale, real-time, and batch data processing. Participate in architecture and system design discussions, ensuring alignment with business objectives and technology strategy, and advocating for best practices in distributed data systems. Independently perform hands-on development and coding of data applications and pipelines using Java, Scala, and Python, including unit testing and code reviews. Monitor key product and data pipeline metrics, identify root causes of anomalies, and provide actionable insights to senior management on data and business health. Maintain and optimize existing datalake infrastructure, lead migrations to lakehouse architectures, and automate deployment of data pipelines and machine learning feature engineering requests. Acquire and integrate data from primary and secondary sources, maintaining robust databases and data systems to support operational and exploratory analytics. Engage with internal stakeholders (business teams, product owners, data scientists) to define priorities, refine processes, and act as a point of contact for resolving stakeholder issues. Drive continuous improvement by establishing and promoting technical standards, enhancing productivity, monitoring, tooling, and adopting industry best practices. What Youll Bring Bachelors degree or higher in Computer Science, Engineering, or a quantitative discipline, or equivalent professional experience demonstrating exceptional ability. 7+ years of work experience in data engineering and platform engineering, with a proven track record in designing and building scalable data architectures. Extensive hands-on experience with modern data stacks, including datalake, lakehouse, streaming data (Flink, Spark), and AWS or equivalent cloud platforms. Cloud - AWS Apache Flink/Spark , Redis Database platform- Databricks. Proficiency in programming languages such as Java, Scala, and Python(Good to have) for data engineering and pipeline development. Expertise in distributed data processing and caching technologies, including Apache Flink, Spark, and Redis. Experience with workflow orchestration, automation, and DevOps tools (Kubernetes,git,Terraform, CI/CD). Ability to perform under pressure, managing competing demands and tight deadlines while maintaining high-quality deliverables. Strong passion and curiosity for data, with a commitment to data-driven decision making and continuous learning. Exceptional attention to detail and professionalism in report and dashboard creation. Excellent team player, able to collaborate across diverse functional groups and communicate complex technical concepts clearly. Outstanding verbal and written communication skills to effectively manage and articulate the health and integrity of data and systems to stakeholders. Please feel free to contact us: 9440806850 Email ID : careers@jayamsolutions.com
