Data Engineer

Year    Noida, Uttar Pradesh, India

Job Description

Strong knowledge of database and data warehousing technologies (e.g., SQL, NoSQL, etc) Strong experience in data engineering or a related field, with a strong focus on designing, developing, and managing large-scale data pipelines and architectures. Proficiency in building ETL/ELT pipelines using python / spark (pyspark). Advanced skills in programming languages such as Python, SQL. Expertise in designing and optimizing data models and complex SQL queries for high-volume systems. Strong problem-solving abilities, with a focus on diagnosing and resolving complex data engineering challenges. Relevant certifications in data engineering, cloud platforms (e.g., AWS, GCP, Azure), or big data technologies (e.g., Hadoop, Spark) are a plus. Experience in HANA, Snowflake and other database system. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world's toughest problems. Youll be challenged, but you won't be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. learn more. Primary country and city: India (IN) || Kolkata Req ID: 766494

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Job Detail

  • Job Id
    JD3897036
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Noida, Uttar Pradesh, India
  • Education
    Not mentioned
  • Experience
    Year