Urgent! Lucideus Technologies - Staff Data Engineer - ETL/Snowflake DB Job Opening In Bengaluru – Now Hiring Lucideus
<p><p><b>What Youll Do :</b></p><p><br/></p><p>- Be the Data Tech Leader: Mentor engineers, champion data engineering best practices, and raise the bar for technical excellence across the org.<br/><br/></p><p>- Architect at Scale: Design and lead petabyte-scale data ingestion, processing, and analytics platforms using Snowflake, Apache Spark, Iceberg, Parquet, and AWS-native services.<br/><br/></p><p>- Own the Data Flow: Build streaming and batch pipelines handling billions of events daily, orchestrated through Apache Airflow for reliability and fault tolerance.<br/><br/></p><p>- Set the Standards: Define frameworks for data modeling, schema evolution, partitioning strategies, and data quality/observability for analytics and AI workloads.<br/><br/></p><p>- Code Like a Pro: Stay hands-on, writing high-performance data processing jobs in Python, SQL, and Scala, and conducting deep-dive reviews when it matters most.<br/><br/></p><p>- Master the Lakehouse: Architect data lakes and warehouse solutions that balance cost, performance, and scalability, leveraging AWS S3 and Snowflake.<br/><br/></p><p>- Solve Complex Problems: Elegantly and efficiently debug and optimize long-running jobs, data skew, and high-volume ETL bottlenecks.<br/><br/></p><p>- Collaborate and influence: Work with the Product, AI/ML, and Platform teams to ensure that data solutions directly power real-time cyber risk analytics.<br/><br/></p><p>- Innovate Constantly: Evaluate and introduce emerging data technologies (e.g., Flink, Druid, Rockset) to keep SAFE at the forefront of data engineering innovation.</p><p><br/><b>What Were Looking For :</b><br/><br/></p><p>- 8+ years of experience in data engineering, with a proven track record of designing and scaling distributed data systems.<br/><br/></p><p>- Deep expertise in big data processing frameworks (Apache Spark, Flink) and workflow orchestration (Airflow).<br/><br/></p><p>- Strong hands-on experience with data warehousing (Snowflake) and data lakehouse architectures (Iceberg, Parquet).<br/><br/></p><p>- Proficiency in Python, SQL, Scala, Go/Nodejs with an ability to optimize large-scale ETL/ELT workloads.<br/><br/></p><p>- Expertise in real-time data ingestion pipelines using Kafka or Kinesis, handling billions of events daily.<br/><br/></p><p>- Experience operating in cloud-native environments (AWS) and leveraging services like S3, Lambda, ECS, Glue, and Athena.<br/><br/></p><p>- Strong understanding of data modeling, schema design, indexing, and query optimization for analytical workloads.<br/><br/></p><p>- Proven leadership in mentoring engineers, driving architectural decisions, and aligning data initiatives with product goals.<br/><br/></p><p>- Experience in streaming architectures, CDC pipelines, and data observability frameworks.<br/><br/></p><p>- Ability to navigate ambiguous problems, high-scale challenges, and lead teams toward innovative solutions.<br/><br/></p><p>- Proficient in deploying containerized applications (Docker, Kubernetes, ECS).<br/><br/></p><p>- Familiarity with using AI Coding assistants like Cursor, Claude Code, or GitHub Copilot.</p><p><br/><b>Preferred Qualification :</b><br/><br/></p><p>- Exposure to CI/CD pipelines, automated testing, and infrastructure-as-code for data workflows.<br/><br/></p><p>- Familiarity with real-time analytics engines (Druid, Pinot, Rockset) or machine learning data pipelines.<br/><br/></p><p>- Contributions to open-source data projects or thought leadership in the data engineering community.<br/><br/></p><p>- Prior experience in cybersecurity, risk quantification, or other high-scale SaaS domain.</p><br/></p> (ref:hirist.tech)
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Unlock Your Lucideus Technologies Potential: Insight & Career Growth Guide
Real-time Lucideus Technologies Jobs Trends in Bengaluru, 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 Lucideus Technologies in Bengaluru, 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 2840 jobs in India and 549 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Lucideus Technologies roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Lucideus is currently hiring and seeking a Lucideus Technologies Staff Data Engineer ETL/Snowflake DB 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 Lucideus adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lucideus Technologies Staff Data Engineer ETL/Snowflake DB Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. 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 Lucideus Technologies Staff Data Engineer ETL/Snowflake DB 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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Before the Interview:To prepare for your Lucideus Technologies Staff Data Engineer ETL/Snowflake DB interview at Lucideus, research the company, understand the job requirements, and practice common interview questions.
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