Data Infrastructure Specialist

3 days ago


Bengaluru, Karnataka, India beBeeData Full time ₹ 1,04,000 - ₹ 1,30,878

Job Title: Data Architect

Job Description:

We are seeking an experienced Data Architect to join our team. As a Data Architect, you will be responsible for designing and building data infrastructure solutions that meet the needs of our business.

The ideal candidate will have a strong background in data engineering and architecture, with experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. You will work closely with data scientists and analysts to design and implement data models and algorithms for data analysis.

Responsibilities:
  • Design and build data pipelines to collect, store, and process data from various sources.
  • Create and manage data warehousing and data lake solutions.
  • Develop and maintain data processing and data integration tools.
  • Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
  • Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
  • Ensure data quality and integrity across all data sources.
  • Develop and implement best practices for data governance, security, and privacy.
Requirements:
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Experience with ETL tools like Matillion, SSIS, Informatica.
  • Experience with SQL and relational databases such as SQL Server, MySQL, PostgreSQL, or Oracle.
  • Experience in writing complex SQL queries.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience with data modeling, data warehousing, and data integration.
  • Strong problem-solving skills and ability to work independently.
  • Excellent communication and collaboration skills.
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
  • Familiarity with cloud computing platforms such as AWS, Azure, or GCP.
Teamwork/Growth Contribution:
  • Helping the team in taking interviews and identifying right candidates.
  • Adhering to timelines.
  • Intime status communication and upfront communication of any risks.
  • Tech, train, share knowledge with peers.
  • Good Communication skills.
  • Proven abilities to take initiative and be innovative.


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