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Big Data Intern
MHTECHIN
posted 14hr ago
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Flexible timing
Key skills for the job
Job Description
We are looking for a Big Data Intern to assist our data engineering and analytics teams in managing large-scale datasets, optimizing data pipelines, and leveraging big data technologies. This internship will provide hands-on experience in data processing, cloud computing, and distributed systems .
Key Responsibilities
- Assist in building, maintaining, and optimizing big data pipelines using Apache Spark, Hadoop, or Kafka .
- Work with structured and unstructured data from various sources and ensure efficient data processing.
- Help in designing data storage solutions using SQL/NoSQL databases (eg, MySQL, MongoDB, Cassandra).
- Collaborate with data engineers to implement ETL processes for large-scale data processing.
- Work with cloud platforms (AWS, GCP, Azure) for data storage, computing, and analytics.
- Conduct data cleaning, transformation, and validation for analytical use.
- Contribute to real-time data streaming and batch processing solutions.
Required Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Big Data, or a related field .
- Basic knowledge of Big Data frameworks such as Hadoop, Spark, or Kafka .
- Proficiency in Python, Java, or Scala for data processing.
- Experience with SQL and NoSQL databases for handling large datasets.
- Understanding of cloud computing and storage solutions (AWS S3, Google BigQuery, Azure Data Lake).
- Strong analytical and problem-solving skills.
Preferred Qualifications
- Familiarity with Apache Airflow, Flink, or Presto for workflow management.
- Exposure to data warehousing solutions (Snowflake, Redshift, BigQuery).
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Knowledge of real-time data processing and streaming analytics.
Benefits
- Hands-on experience with cutting-edge Big Data technologies .
- Mentorship from experienced data engineers and cloud architects .
- Exposure to real-world data challenges in a fast-paced environment.
- Opportunity to convert to a full-time role based on performance.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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