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MODULE LEAD - Data Management/Mining/Collection

Happiest Minds Technologies

RemoteFull timeMid levelPosted today
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About the role

Data Engineer

Location: CUSTOMER-Bengaluru-Bengaluru

Years of Experience: 5-8 Years

Job Summary: We are seeking a skilled Data Engineer with a strong background in data management, mining, and collection. The ideal candidate will have a proven track record of designing and implementing data solutions that drive business insights and support data-driven decision-making. This role requires a deep understanding of data architecture, data warehousing, and ETL processes, along with the ability to work collaboratively in a fast-paced environment.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and architectures to support data collection, storage, and analysis.
  • Implement data management best practices to ensure data quality, integrity, and security.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.
  • Perform data mining and analysis to extract valuable insights and support business objectives.
  • Monitor and optimize data systems for performance and reliability.
  • Document data processes, architectures, and workflows for future reference and compliance.
  • Stay updated with industry trends and emerging technologies in data engineering and management.

Mandatory Skills:

  • Strong expertise in data management, mining, and collection.
  • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
  • Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
  • Familiarity with ETL tools (e.g., Apache NiFi, Talend, Informatica).
  • Knowledge of programming languages such as Python, Java, or Scala.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.

Preferred Skills:

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Understanding of data governance and compliance frameworks.
  • Familiarity with machine learning concepts and tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5-8 years of experience in data engineering or a related role.
  • Proven track record of successful data projects and implementations.

If you are a passionate Data Engineer with a strong foundation in data management and a desire to make an impact, we encourage you to apply.

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