3 Days Left: Senior Big Data Engineer

1 day ago

India MindBrain Full time
Job Title: Data Analyst

Experience: 4–7 Years

Location: [Remote]

Employment Type: Full-Time

Job Overview:

We are seeking a highly skilled Data Analyst with expertise in SQL, Python, and Java, along with exposure to Generative AI (GenAI) tools and techniques. The ideal candidate will play a critical role in data extraction, integration, and advanced analysis by leveraging both traditional programming and emerging AI technologies.

Key Responsibilities:

- Design, develop, and optimize SQL queries for data extraction, manipulation, and reporting.
- Build and maintain ETL pipelines for seamless data integration across systems.
- Apply programming expertise in Python and Java for data analysis, automation, and solution development.
- Utilize GenAI tools and LLMs (Large Language Models) for advanced data-driven insights.
- Develop and refine prompt engineering techniques to generate accurate SQL queries, summarize findings, and enhance analytical workflows.
- Translate complex data into clear, actionable insights for business stakeholders.
- Collaborate with cross-functional teams to identify opportunities for process improvement and data-driven decision-making.

Required Skills & Qualifications:

- 4–7 years of experience in data analysis, data engineering, or related fields.
- Strong expertise in SQL (query optimization, joins, stored procedures, performance tuning).
- Hands-on experience with Python and Java for data analysis and application development.
- Proven experience with ETL tools and frameworks for data extraction and integration.
- Exposure to GenAI tools and LLMs for analytics and automation.
- Ability to apply prompt engineering for generating SQL queries, summarizing outputs, and driving deeper insights.
- Strong problem-solving skills with a focus on innovation and accuracy.
- Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.

Nice to Have:

- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with data visualization tools (Power BI, Tableau, or Looker).
- Understanding of machine learning concepts and their application in data analysis.

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