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BI Engineer/Data Scientist

Job Description

We are looking for a self-starting, proactive problem solver to join the Adeption Tech Development team! 

Job title: BI Engineer/Data Scientist

Location: Pune, Indiav

Knowledge, Skills & Experience Required:

● Experience: 6+ years of experience working as a BI engineer or Data Scientist
● Good communication skills
● Excellent understanding of data warehousing concepts, including dimensional modeling, data normalization, and star schema design.
● Proficiency in SQL for querying and manipulating data in RDBMS such as MySQL, PostgreSQL, SQL Server, or Oracle.
● Experience with ETL tools like Informatica, Talend, SSIS, or Apache NiFi
● Good knowledge of data visualization tools such as Tableau, Power BI, Looker, or QlikView.
● Proficiency in programming languages like Python or R
● Knowledge of statistical analysis techniques and experience with statistical modeling tools like R, Python libraries (e.g., pandas, numpy, scipy), or SAS for advanced analytics and predictive modeling.
● Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) and experience with cloud-based data services like Amazon Redshift, Azure SQL Data Warehouse, or Google BigQuery.
● Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
● Experience with version control systems like Git
● Ability to write scripts for automation tasks using languages like Python, Shell scripting, or PowerShell to streamline ETL processes and other repetitive tasks.
● Understanding of data security principles and experience with implementing security measures to protect sensitive data, including encryption, access control, and compliance with data privacy regulations (e.g., GDPR, CCPA).
● Any special requirements such as weekend work
● While not necessary, we could benefit if you have previously worked in the domain of Leadership Development / Learning and Development / EdTech.

Roles & responsibilities:

● Data Modeling and Design: Designing and developing data models and databases to support business reporting and analytics needs.
● Data Extraction and Transformation: Extracting data from various sources such as databases, data warehouses, and APIs, and transforming it into a format suitable for analysis.
● Data Warehousing: Building and maintaining data warehouses or data marts to store structured and unstructured data efficiently.
● ETL Processes: Developing and managing Extract, Transform, Load (ETL) processes to move data from source systems to the data warehouse, ensuring data integrity and quality.
● Data Visualization and Reporting: Creating dashboards, reports, and visualizations using Power BI to present data insights to stakeholders in an understandable and actionable format.
● Data Analysis: Conducting exploratory data analysis to identify trends, patterns, and insights that can inform business decisions.
● Performance Tuning and Optimization: Optimizing data queries and processes to improve performance and ensure scalability of BI solutions.
● Collaboration with Stakeholders: Collaborating with business stakeholders to understand their requirements and translate them into technical solutions.
● Data Governance and Security: Implementing data governance policies and ensuring compliance with data privacy regulations to protect sensitive information.
● Continuous Improvement: Keeping abreast of emerging technologies and best practices in BI and analytics, and continuously improving processes and solutions to meet evolving business needs.
● Documentation and Knowledge Sharing: Documenting data models, processes, and solutions, and sharing knowledge with team members to ensure continuity and scalability of BI initiatives.
● Project Management: Managing BI projects from conception to completion, including requirements gathering, planning, execution, and monitoring.


Please contact Saanvi ( to continue the conversation.

Thanks for your interest!