Senior Business Intelligence Developer

2 days ago

Allahabad, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Senior Data Engineer

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We are seeking a skilled Senior Data Engineer to join our team. The ideal candidate will have extensive experience in designing, constructing, and optimizing large-scale data processing systems.

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The successful candidate will collaborate closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our Databricks solution.

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Key Responsibilities:

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• Design, develop, and maintain scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.

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• Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.

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• Optimize data architectures and workflows for performance, scalability, and cost-efficiency.

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• Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.

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• Ensure data quality, integrity, and security by implementing best practices in data governance and management.

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• Develop and maintain documentation for data systems, including data models, flow diagrams, and operational procedures.

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• Mentor and guide junior data engineers, providing technical leadership and support.

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• Stay current with emerging technologies and trends in data engineering, and apply them to improve existing systems.

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Required Skills and Qualifications:

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• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.

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• 5+ years of experience in data engineering or related fields, with a focus on large-scale data systems.

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• 3+ years of experience with Databricks.

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• Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases.

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• Strong programming skills in languages such as Python, Java, or Scala.

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• Experience with ETL tools and frameworks and data pipeline orchestration.

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• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).

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• Strong understanding of data warehousing concepts, data modeling, and schema design.

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• Excellent problem-solving skills and attention to detail.

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• Strong communication skills and ability to work effectively in a team-oriented environment.

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Benefits:

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• Remote work option.

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• Employment/Contract Type: Contract.

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• Location: India.

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• Duration: 1 year (with potential to be extended).

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• Hours per Week: 40 (Full-time).

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About Us:

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We are an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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