Data Engineer

Educational Qualification : Must be graduate

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using Google BigQuery.

• Design, develop, and maintain data solutions for data generation, collection, and processing using Google BigQuery.
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems.
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency.
• Implement data security and privacy measures to protect sensitive data.

• Must To Have Skills: Proficiency in Google BigQuery.
• Good To Have Skills: Experience with ETL tools such as Apache NiFi or Talend.
• Strong understanding of data modeling, data warehousing, and data integration concepts.
• Experience with SQL and NoSQL databases.
• Familiarity with cloud computing platforms such as Google Cloud Platform or AWS.
• Experience with data security and privacy measures.

• The candidate should have a minimum of 2 years of experience in Google BigQuery.
• The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions.
• This position is based at our Bengaluru office.