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Urgent! iKrux - Big Data Engineer - Python/Scala Job Opening In Pune – Now Hiring Ikrux Engineeering

iKrux Big Data Engineer Python/Scala



Job description

<p><p>We are seeking a highly skilled and motivated Big Data Engineer with strong experience in building, optimizing, and managing large-scale data processing pipelines.

The ideal candidate will have hands-on expertise in Scala, Python, Apache Spark, Kafka, and/or Apache NiFi, and will work closely with cross-functional teams to design and implement scalable data solutions that drive business intelligence and analytics.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, build, and maintain large-scale distributed data processing systems using Spark, Kafka, and/or NiFi.<br/><br/></p><p>- Write efficient and reusable code in Scala and Python for data transformation, ingestion, and enrichment.<br/><br/></p><p>- Collaborate with data scientists, analysts, and engineers to ensure data quality, consistency, and availability.<br/><br/></p><p>- Optimize data pipelines for performance, reliability, and scalability.<br/><br/></p><p>- Integrate diverse data sources, ensuring data governance and security compliance.<br/><br/></p><p>- Monitor and troubleshoot data workflows, resolving bottlenecks and issues.<br/><br/></p><p>- Participate in code reviews, architecture discussions, and best practice development.<br/><br/></p><p>- Stay updated on emerging big data technologies and frameworks to continuously improve system efficiency.<br/><br/><b>Required Skills and Experience : </b><br/><br/>- Strong programming experience in Scala and Python for data engineering.<br/><br/></p><p>- Extensive experience with Apache Spark, including optimization, tuning, and resource management.<br/><br/></p><p>- Hands-on experience with Kafka for real-time data streaming and messaging systems.<br/><br/></p><p>- Experience with Apache NiFi for data flow automation and integration.<br/><br/></p><p>- Working knowledge of Hadoop ecosystem components is a plus.<br/><br/></p><p>- Understanding of cloud-based data solutions (AWS, Azure, or GCP) is desirable.<br/><br/></p><p>- Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).<br/><br/></p><p>- Experience in working with data warehousing solutions and ETL pipelines.<br/><br/></p><p>- Good analytical, problem-solving, and debugging skills.<br/><br/></p><p>- Excellent communication and teamwork abilities.</p><br/></p> (ref:hirist.tech)


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