Data Analyst

18 hours ago

Mumbai, India Adept Global Full time
Role:

Data & Analytics AnalystLocation:

MumbaiBudget:

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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