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Softility - Big Data Engineer - Apache Spark Job Opening In Hyderabad – Now Hiring Softility


Job description

<p><p><b>Big Data Engineer :</b></p><p><p><br/></p></p><p>- Design, build, and optimize robust and scalable data pipelines for both batch and real-time data ingestion using Apache Spark (Streaming + Batch), Apache Nifi, and Apache Kafka.<br/><br/>Data Storage and Management :</p><p><br/></p><p>- Manage and maintain data storage solutions on Hadoop/HDFS.

Implement data models and schemas in Hive for a data warehouse and reporting layer.

</p><p><br/></p><p>- Work with HBase for specific use cases requiring fast, random-access to large datasets, leveraging Phoenix/SQL line for SQL-based access.<br/><br/>- Workflow Orchestration: Develop and manage complex data workflows and dependencies using Apache Oozie.<br/><br/>ETL and Data Integration : </p><p><br/></p><p>- Utilize Informatica for traditional ETL workflows and Apache Sqoop to efficiently transfer data between RDBMS and the Hadoop ecosystem.<br/><br/>Resource Management : </p><p><br/></p><p>- Work with YARN to manage cluster resources, monitor job execution, and ensure high availability and fault tolerance.<br/><br/>Monitoring and Maintenance : </p><p><br/></p><p>- Monitor the health and performance of the data platform using tools like Hue and New Relic.

Proactively identify and resolve issues.<br/><br/>Collaboration : </p><p><br/></p><p>- Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions.<br/><br/><b>Cloud and Advanced Skills (Good to Have) :</b><br/><br/>- Experience with containerization and cloud-native solutions, particularly Anthos, for deploying and managing applications.<br/><br/>- Familiarity with data observability and logging platforms like Cribl for advanced data collection and routing.<br/><br/><b>Qualifications :</b><br/><br/><b>Experience :</b> Proven experience as a Big Data Engineer or a similar role.<br/><br/><b>Technical Skills :</b><br/><br/></p><p>- Strong expertise in Hadoop and HDFS.<br/><br/></p><p>- Proficiency in Apache Spark for both batch and stream processing.<br/><br/></p><p>- Hands-on experience with Apache Hive and HBase.<br/><br/></p><p>- Knowledge of data ingestion tools like Apache Kafka and Apache Nifi.<br/><br/></p><p>- Experience with Apache Oozie or other workflow schedulers.<br/><br/></p><p>- Familiarity with Apache Sqoop for RDBMS integration.<br/><br/></p><p>- Understanding of YARN for cluster resource management.<br/><br/></p><p>- Proficiency in at least one scripting language (e.g., Python, Scala).<br/><br/></p><p>- Familiarity with monitoring tools like Hue and New Relic.<br/><br/></p><p>- Experience with Informatica is a plus.<br/><br/><b>Soft Skills :</b><br/><br/></p><p>- Excellent problem-solving and analytical skills.<br/><br/></p><p>- Strong communication and collaboration abilities.<br/><br/></p><p>- Ability to work in a fast-paced, agile environment.<br/><br/><b>Education :</b><br/><br/>- Bachelors or Masters degree in Computer Science, Data Science, or a related field.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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