Tenacitics Hiring Drive 2024 For Data Engineer | Location Chennai

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Tenacitics Hiring Drive 2024: Tenacitics Hiring Drive 2024 for its Data Engineer. Tenacitics Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science or a related field. if you are interested, please apply as soon as possible.

Company Name: Tenacitics

Role: Data Engineer

Location: Chennai

Experience: 0 – 2 years

Qualification: Bachelors degree in Computer Science or related field

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Tenacitics Hiring Drive 2024

Job 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.


  • 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


  • 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.

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