The purpose of this role is to develop required software features, achieving timely delivery in compliance with the performance and quality standards of the company.
Technical Skills
- Data Cleaning Tools & Libraries : Proficiency with tools and libraries to clean and preprocess data for example :
Python
Excel - emphasis on Familiarity with data cleaning functions, filters, and pivot tables.Data Management & Analysis Skills
Data Validation & Consistency : Ability to identify data quality issues such as duplicates, missing values, outliers, and inconsistencies.Data Transformation : Experience in transforming raw data into usable formats, including reshaping, aggregating, or normalizing data.Handling Missing Data : Familiarity with imputation techniques or ways to deal with incomplete datasets.Data Normalization & Standardization : Ensuring uniformity in data formats, units of measurement, and naming conventions.Data Aggregation : Summarizing or grouping data for analysis and ensuring that it is consistent across all sources.Knowledge of Data Quality
Data Integrity : Understanding the importance of maintaining accurate and consistent data over time.Data Profiling : Identifying patterns, anomalies, and key characteristics of the dataset.Error Detection : Ability to find and correct errors within datasets by checking for outliers, misclassifications, or missing values.Soft Skills
Attention to Detail : The ability to identify small inconsistencies and issues within large datasets.Problem-Solving : Being resourceful in resolving data issues and proposing solutions.Critical Thinking : Analyzing data in-depth and understanding its implications.Communication : Ability to explain data issues and cleaning steps to non-technical stakeholders.Experience with Data Formats
Structured Data : Familiarity with both structured (tables, databases)Data Sources : Ability to clean data from various sources such as spreadsheets, databases, APIs, logs, etc.File Formats : Proficiency in working with common data file formats like CSV, XML, and Excel.Statistical and Analytical Skills
Basic Statistics : Understanding of basic statistical concepts to spot anomalies, outliers, or trends in data.Data Visualization : Ability to visualize the cleaned data to identify trends and patterns (e.g., with Power BI).Automation and Scripting
Automating Repetitive Tasks : Experience in automating data cleaning processes with scripts or workflow automation tools.Batch Processing : Capability to clean data in bulk, particularly when dealing with large datasets.Location :
DGS India - Pune - Extentia Tower
Brand : Merkle
Time Type : Full time
Contract Type : Permanent
Locations - DGS India - Pune - Extentia Tower