AIMLEAP Hiring Drive 2024: AIMLEAP Hiring Drive 2024 for its Data Engineer. AIMLEAP Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. if you are interested, please apply as soon as possible.
Company Name: AIMLEAP
Role: Data Engineer
Location: Work from Home
Experience: 0 to 1 Year
Qualification: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
Batch: Any
Job Type: Full Time
Salary: 3 Lacs to 5 Lacs INR PA
AIMLEAP Hiring Drive 2024
Job Description:
- Basic understanding of data structures, algorithms, and database management systems.
- Understanding of cloud platforms such as AWS, Azure, or Google Cloud.
- Internship or project experience in data engineering or a related field.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Familiarity with SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Exposure to programming languages such as Python, Java, or Scala.
- Knowledge of ETL tools and processes.
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Knowledge of data governance and data quality best practices.
- Experience with data visualization tools such as Tableau or Power BI.
Responsibility:
- Assist in the design, development, and maintenance of data pipelines and ETL processes.
- Work with data warehousing solutions to support data analytics and reporting needs.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
- Help in the development and optimization of SQL queries for data extraction and transformation.
- Ensure data integrity and consistency across various data sources and systems.
- Participate in troubleshooting and resolving data-related issues.
- Maintain comprehensive documentation of data processes, pipelines, and systems.
- Stay updated with emerging technologies and best practices in data engineering.
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