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Urgent! Big Data Engineer Job Opening In India, India – Now Hiring MAPCOM INFO SOLUTION PRIVATE LIMITED

Big Data Engineer



Job description

<p><p><b>Position Overview :</b></p><p><p><b><br/></b></p>As a Big Data Engineer, you will be responsible for designing, building, and managing scalable data pipelines, and processing frameworks that support the ingestion, transformation, and storage of large datasets.

You will work closely with data scientists, analysts, and other engineers to deliver high-quality, reliable, and efficient data infrastructure solutions.

The ideal candidate will have a deep understanding of big data technologies, data warehousing concepts, and best practices for building scalable Responsibilities :</b></p><p><b><br/></b></p><p><b>- Design & Implement Data Pipelines :</b> Build and maintain robust, scalable, and efficient data pipelines to process large volumes of data from diverse sources.</p><b><br/></b></p><p><b>- Data Integration :</b> Integrate data from multiple sources into a centralized data warehouse or data lake for analytical purposes.<br/><b><br/></b></p><p><p><b>- Data Modeling :</b> Collaborate with stakeholders to design and implement data models that optimize storage, retrieval, and Optimization & Tuning :</b> Ensure the performance, scalability, and reliability of data systems by optimizing queries, processing workflows, and data Data Processing Frameworks :</b> Develop and manage batch and real-time data processing frameworks using big data technologies like Hadoop, Spark, or Collaboration :</b> Work with data scientists, analysts, and software engineers to define data requirements, understand business needs, and design technical Monitoring & Troubleshooting :</b> Monitor the health of data pipelines, troubleshoot issues, and ensure data quality and & Qualifications :</b></p><p><b><br/></b></p><p><b>- Experience with Big Data Technologies:</b> Proficient in Hadoop, Spark, Kafka, Hive, Flink, and related technologies.</p><b><br/></b></p><p><b>- Data Warehousing :</b> Familiarity with data warehousing concepts and technologies (e.g., Redshift, Snowflake, Programming Languages :</b> Strong proficiency in languages such as Python, Java, Scala, or ETL Development :</b> Experience with designing and implementing ETL processes for data integration and Cloud Platforms :</b> Experience working with cloud platforms such as AWS, GCP, or Azure, especially in data related Distributed Systems :</b> Strong understanding of distributed systems and cloud-native Data Modeling & Design :</b> Solid understanding of relational and NoSQL databases, as well as best practices in database Problem-Solving & Analytical Skills :</b> Strong problem-solving ability and analytical mindset to identify data issues and optimize Qualifications :</b></p><p><b><br/></b></p><p><b>- Experience with Real-Time Data Processing :</b> Experience with tools like Apache Flink, Kafka Streams, or Apache Pulsar.</p><b><br/></b></p><p><b>- Machine Learning Experience :</b> Knowledge of integrating machine learning models or AI systems into the data pipeline.</p><p><br/><b>- Advanced Degree :</b> A Masters degree or PhD in Computer Science, Engineering, Data Science, or related fields is a plus.</p><p><br/></p><p><b>Benefits :</b></p><p><p><b><br/></b></p>- Competitive salary and performance-based bonuses<br/><br/></p><p>- Health, dental, and vision insurance<br/><br/></p><p>- Generous PTO and sick leave<br/><br/></p><p>- Retirement plan options (401k, etc.)<br/><br/></p><p>- Professional development and training opportunities<br/><br/></p><p>- Flexible working hours and remote work options<br/><br/></p><p>- A dynamic, collaborative, and inclusive work environment</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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