Technix Technology Hiring Drive 2024 For Data Engineer | Location Patna

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Technix Technology Hiring Drive 2024: Technix Technology Hiring Drive 2024 for its Data Engineer. Technix Technology Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.E/B.Tech degree. if you are interested, please apply as soon as possible.

Company Name: Technix Technology

Role: Data Engineer

Location: Patna

Experience: 0 – 2 years

Qualification: B.E/B.Tech

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Technix Technology Hiring Drive 2024

Job Description:

  • We are looking for Data Engineer to join our growing team of analytics experts.
  • The Data Engineers are responsible for expanding and optimizing the data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
  • The candidate should be experienced in data pipeline builder and data wrangler and who enjoys optimizing data systems and building them from the ground up.
  • The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.


  • Passion for testing strategy, problem-solving, and continuous learning.
  • Willingness to acquire new skills and knowledge.
  • Possess a product/engineering mindset to drive impactful data solutions.
  • Experience working in distributed environments with global teams.
  • Knowledge or experience in architectural best practices for building data lakes.
  • Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive.
  • Expert-level ability to write complex, optimized SQL queries across extensive data volumes.
  • Experience with RDBMS and OLAP databases like MySQL, Redshift.
  • Solid understanding of batch and streaming data processing techniques
  • High proficiency in Scala/Java and Spark for applied large-scale data processing.


  • Analyze and organize raw data
  • 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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