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Urgent! iKrux - Big Data Engineer - Python/Scala Job Opening In Pune – Now Hiring Ikrux Engineeering
<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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Unlock Your iKrux Big Potential: Insight & Career Growth Guide
Real-time iKrux Big Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for iKrux Big in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 3803 jobs in India and 197 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in iKrux Big roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Ikrux Engineeering is currently hiring and seeking a iKrux Big Data Engineer Python/Scala to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Ikrux Engineeering adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a iKrux Big Data Engineer Python/Scala Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for iKrux Big Data Engineer Python/Scala typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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