Adept Global | Data Analyst

20 hours ago

mumbai, India Adept Global Full time

Role: Data & Analytics Analyst

Location: Mumbai

Budget: 15 LPA

About the Role:

We are seeking a highly skilled and experienced Data & Analytics Analyst to design and develop our data warehouse, including the critical user discovery & data exploration system. This role will be instrumental in defining the architecture and implementation of our data infrastructure, ensuring scalability, performance, and reliability as we grow.

Key Responsibilities:

  • Data Warehouse Architecture:
  • Design and implement a robust and scalable data warehouse architecture to support our business intelligence and analytics needs.
  • Evaluate and select appropriate data warehousing technologies and tools, including data lakes, data marts, and data pipelines.
  • Define data models, schemas, and ETL/ELT processes for optimal data ingestion, transformation, and storage.
  • Ensure data quality, consistency, and security across the entire data pipeline.

  • User Discovery / Data Exploration System:
  • Design and develop a sophisticated user discovery / data exploration system to understand user preferences, behaviour, and viewing habits.
  • Implement algorithms and machine learning models to personalize content recommendations and improve user engagement.
  • Integrate user data with other relevant data sources to gain deeper insights into user behaviour.
  • Perform exploratory data analysis (EDA) to identify patterns, trends, anomalies, and relationships within the data.
  • Utilize statistical and machine learning techniques to analyse data and generate insights.
  • Develop and maintain data visualizations (dashboards, reports) to communicate findings effectively.

  • Technology Stack:
  • Selection and implementation of open-source technologies for the data warehouse, such as:
  • Data warehousing platforms (e.g., Apache Hive, Presto, Trino)
  • Data streaming platforms (e.g., Apache Kafka, Apache Pulsar)
  • Data processing frameworks (e.g., Apache Spark, Apache Flink)
  • Cloud-native technologies (e.g., AWS, GCP)

Qualifications:

  • Experience:
  • Bachelor’s or Master's degree in Computer Science or a related field.
  • 6-8 years of experience in data warehousing and data engineering.
  • Proven experience in designing and implementing large-scale data platforms.
  • Hands-on experience with open-source technologies (e.g., Hadoop, Spark, Kafka).
  • Experience with cloud-native technologies (AWS, GCP, or Azure) is a plus.

  • Technical Skills:
  • Strong understanding of data modelling, data warehousing principles, and ETL/ELT processes.
  • Expertise in SQL and scripting languages (e.g., Python, Scala).
  • Experience with data visualization and business intelligence tools (e.g., Druid, Imply).
  • Familiarity with machine learning concepts and their application to data analysis.
  • Expertise in Python development

Benefits:

  • Opportunity to work on a cutting-edge AOSP-based platform.
  • Be part of a dynamic and growing team.
  • Work with open-source technologies and contribute to the open-source community.

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