Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 12756680

    Happiest Minds Technologies logo

    MODULE LEAD - Data Management/Mining/Collection

    Happiest Minds Technologies · Bengaluru · onsite · Posted 61d ago

    Undisclosed5–8 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this 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.

    Sourced from naukri

    Skills

    InformaticaPostgresqlApache SparkScaladata architecturedata mininggoogle cloud platformamazon web servicesredshiftApache Nifibigqueryetl processTalendApache HadoopCollectionsPythonSQLTeamworkCommunication SkillsData WarehousingJavaData ManagementanalyticalETLMicrosoft Azure

    About Happiest Minds Technologies

    Happiest Minds Technologies logo

    Happiest Minds Technologies

    IT Services & Consulting

    6.5k+

    employees

    2011

    15 years old

    Bangalore / Bengaluru, Karnataka

    India

    About

    A technology firm specializing in digital transformation services utilizing advanced technologies to enhance enterprise efficiency and customer experience.

    Industries

    IT Services & Consulting

    Employee ratings

    1,441 reviews

    3.4/ 5

    Culture

    3.4

    Career growth

    2.8

    Work-life

    3.6

    Employees rate it well for

    Work Life Balance210Work Culture165Senior Management138Salary104Learning80

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    MODULE LEAD - Data Management/Mining/Collection · waiting for your command