Data Engineer / Developer

Information Technology
Pune (Maharashtra), Maharashtra (India), India
January 29, 2025
Full-time
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Job Description

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.

Job Description:

Technical Skills

  • Data Cleaning Tools & Libraries: Proficiency with tools and libraries to clean and preprocess data for example:
    • Python
    • R
    • SQL
    • 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

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