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Big Data Analyst - Kafka / Hadoop

Big Data Analyst - Kafka / Hadoop

SKS EnterprisesIndia
10 days ago
Job description

About the Role :

We are seeking a highly skilled Big Data Analyst to join our data-driven team.

The ideal candidate will be responsible for analyzing large datasets to uncover insights, trends, and opportunities that support strategic decision-making across the organization.

You will work closely with data engineers, data scientists, and business stakeholders to transform raw data into actionable intelligence.

Key Responsibilities :

  • Collect, process, and analyze large volumes of structured and unstructured data from diverse sources.
  • Utilize big data tools and technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
  • Develop and maintain dashboards, reports, and data visualizations to communicate findings to stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data analytics solutions.
  • Identify data quality issues and work with engineering teams to resolve them.
  • Apply statistical methods and predictive analytics to generate insights and support business forecasting.
  • Conduct root cause analysis of business problems using data.
  • Continuously optimize data analysis processes and implement automation where possible.
  • Stay updated with industry trends and emerging big data technologies to recommend improvements.
  • Support data governance and compliance efforts by ensuring data privacy and security protocols.

Required Skills & Qualifications :

  • Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Proven experience 3+ as a Big Data Analyst or similar role.
  • Strong proficiency with big data platforms like Hadoop Ecosystem (HDFS, MapReduce), Apache Spark,
  • and Kafka.

  • Hands-on experience with data querying languages such as SQL, and familiarity with NoSQL databases (MongoDB, Cassandra, HBase).
  • Expertise in data visualization tools such as Tableau, Power BI, or QlikView.
  • Solid understanding of data modeling, ETL processes, and data warehousing concepts.
  • Knowledge of programming languages such as Python, R, or Scala is a plus.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication skills with the ability to present complex data insights clearly to non-
  • technical stakeholders.

  • Experience working in Agile teams and using project management tools
  • (ref : hirist.tech)

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