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.
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
Responsibility:
- 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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