Data Analyst

Are you a data enthusiast with a keen interest in harnessing the power of cutting-edge technologies to unlock data-driven insights? We are currently seeking a skilled Data Analyst with expertise in Python, Apache Spark, Elastic Search, Kafka, and a passion for delivering innovative solutions.

1. Data Collection and Integration: Gather data from various sources, including databases, APIs, and real-time streams, and integrate them into our data ecosystem.
2. Data Exploration and Analysis: Conduct in-depth data analysis to identify patterns, trends, and correlations. Utilize Python for data manipulation, cleaning, and transformation tasks.
3. ElasticSearch and Kafka Expertise: Leverage Elastic Search for efficient indexing and querying of large datasets. Work with Kafka to manage real-time data streams and ensure smooth data flow within our architecture.
4. Recommendation Engine Development: Collaborate with the data science team to design and implement recommendation engines to enhance customer experiences and drive engagement.
5. Data Visualization: Create visually appealing and interactive dashboards using tools like Tableau or Matplotlib to communicate insights effectively to stakeholders.
6. Performance Optimization: Continuously improve data processes and pipelines to enhance data quality, accuracy, and efficiency.
7. Graph Data Exploration (Desirable): If you have experience working with graph databases (e.g., Neo4j), you will have the opportunity to explore and extract insights from connected data structures.
8. Collaborative Insights: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify data requirements and address analytical challenges.