Hiring Drive 2023 For Big Data Engineer| Location India  

Join Our Official Data Science, Data Analyst, Data Engineering Jobs Telegram Channel Hiring Drive 2023: EXL Analytics Hiring for a job role of Big Data Engineer for Bengaluru Location Jobseekers With 2+Years Of Experience candidates can apply for this job role ASAP.


Role: Big Data Engineer

Location:  India  

Experience: 2+ Years

Qualification: Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred.

Batch: Any Batch

Salary: 8.4 LPA (Estimated) Hiring Drive

Key Responsibilities:

  • Design, develop, and implement scalable and efficient data processing systems using big data technologies, ensuring high performance and reliability.
  • Collaborate with cross-functional teams to understand data requirements, identify opportunities for data acquisition, and design appropriate data models.
  • Develop and maintain data pipelines, ETL processes, and data integration solutions to efficiently collect, process, and store large volumes of structured and unstructured data.
  • Optimise data processing and storage for improved performance, scalability, and cost-efficiency.
  • Perform data analysis, data profiling, and statistical modeling to derive valuable insights and support data-driven decision-making.
  • Collaborate with data scientists and analysts to design and implement data visualization solutions that effectively communicate complex data insights.
  • Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
  • Monitor and troubleshoot data pipelines, identifying and resolving issues in a timely manner to minimise disruptions.
  • Document technical specifications, system configurations, and data processing workflows.

EXL Analytics Hiring Drive 2023 For AWS Data Engineer| Location Bengaluru

Job Skill:

  • Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred.
  • Proven experience working of 2+ years as a Big Data Engineer or a similar role, with a focus on data processing, data warehousing, and analytics.
  • Strong proficiency in big data technologies such as Hadoop, Spark, Kafka, and related frameworks.
  • Solid understanding of data warehousing concepts, ETL processes, and data modeling techniques.
  • Proficiency in programming languages such as Python, Scala, or Java, with experience in implementing data processing workflows.
  • Experience with data visualisation tools such as Tableau, Power BI, or similar platforms.
  • Familiarity with statistical modeling techniques and tools for data analysis.
  • Strong problem-solving skills and the ability to work with large volumes of data.
  • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
  • Ability to work in a fast-paced environment and manage multiple projects simultaneously.

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