Etl Warehouse Engineer (Remote)

Work mode- Remote

Experience – 3+ years

Notice Period- Immediate Joiner or maximum 30 days.

Job Description

Our company is seeking a skilled and experienced Data Warehouse Engineer to join our team. The ideal candidate will have a minimum of 3 years of experience in ETL tools such as AWS Glue, Azure Data Factory, Fivetran, Talend, Pentaho and others. They should possess a strong command of SQL, including query performance tuning and index management, as well as a solid understanding of database structures and data modeling concepts.

In this role, the Data Warehouse Engineer will be responsible for building and maintaining data warehouses for our clients. They will design, automate, and support complex data extraction, transformation, and loading (ETL) applications.

Required Skills And Responsibilities

• Minimum 3 years of experience in ETL tools such as SSIS, Informatica, Talend, Pentaho, Datastage, Azure Data factory.
• Very good SQL knowledge including query performance tuning, index management, etc.
• Proficient in data modeling concepts.
• Familiarity with various SQL/NoSQL data storage techniques and Big Data technologies.
• Certified in any ETL tool or cloud data engineering.

Desired Skills

• Experience with Linux operating systems.
• Good coding skills (Python and any other programming language).
• Knowledge of Spark.
• Strong problem-solving skills and ability to troubleshoot data-related issues in a distributed compute environment (whether on-prem or on cloud)
• Excellent communication and teamwork abilities.
• Ability to work independently and handle multiple tasks simultaneously.

Key Responsibilities

• Build data warehouse and ETL pipelines for our customers utilizing various data warehousing ideas.
• Design, automate, and support sophisticated data extraction, transformation, and loading applications.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or related field. Master’s degree preferred.

Benefits

• Health and life insurance
• Customizing salary to maximize tax benefits (flexible expenses, EPFO, NPS etc.)
• One time office setup assistance
• Reimbursement for books/journals/training Patent/paper rewards
• Representing the company in developer/user conferences and visiting customers
• Continuous training sessions on C++/Java/DS/Algo/BigData/AI/ML/Hardware etc.
• Exposure to working with Graph Neural Networks and AI/ML in the development of comprehensive data analysis solutions.
• Chance to work with cutting edge technologies in a collaborative and innovative environment.

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