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Data Engineer

0-2 years
Not Disclosed
10 March 21, 2024
Job Description
Job Type: Full Time Education: Any Graduate Skills: Python, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Data Science, Artificial Intelligence

Job description

 

Description:

Join Tenacitics as a Data Engineer in Chennai. Collaborate with cross-functional teams to design, develop, and optimize data pipelines, utilizing ETL processes and data cleansing techniques. Ensure data accuracy, integrity, and performance in the Enterprise Data Warehouse (EDW) environment, particularly with Snowflake. Stay updated on industry trends and best practices in data engineering.

 

Responsibilities:

  •     Analyze and organize raw data. 
  •     Developing and maintaining datasets.
  •     Improving data quality and efficiency.
  •     Design enhancements, updates and programming changes.
  •     Identify and debug issue and suggest changes and improvements.
  •     Build data systems and pipelines.
  •     Evaluate business needs and objectives.
  •     Interpret trends and patterns.
  •     Conduct complex data analysis and report on results. 
  •     Prepare data for prescriptive and predictive modeling.
  •     Build algorithms and prototypes.
  •     Combine raw information from different sources.
  •     Explore ways to enhance data quality and reliability.
  •     Identify opportunities for data acquisition.
  •     Develop analytical tools and programs.
  •     Collaborate with data scientists and architects on several projects.

 

Requirements:

  • Bachelors degree in Computer Science or related field
  • 0-2 years of experience
  • Strong programming skills in Python and R programming languages for data manipulation and analysis, including experience with popular libraries such as Pandas, NumPy, and Scikit-learn
  • Proficiency in SQL and relational databases, with experience in query optimization and data modeling
  • Familiarity with ETL tools and techniques, including data extraction, transformation, and loading processes
  • Experience working with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of distributed computing frameworks like Apache Spark and Hadoop for processing large-scale data sets

 

Role: Data Engineer

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

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