Data Engineer

18 hours ago

Hyderabad, Telangana, India Bharat Engagement And Accountable Citizen Operations Network (beacon) Full time ₹ 10,00,000 - ₹ 25,00,000 per year

We at BEACON Consulting are expanding our core tech team with 2 engineers to build and scale data-driven platforms that process, analyze, and visualize large-scale digital data streams. Youll work at the intersection of data engineering, machine learning, and real-time analytics, creating systems that transform raw digital data into structured, actionable intelligence.

Please note: Immediate joiners are preferred for this role.

Responsibilities

-Build and maintain data pipelines to fetch and process data from multiple APIs (Twitter, YouTube, Meta, etc.)

-Implement and integrate NLP/ML models (Transformers, VADER, OpenAI, Hugging Face, etc.)

-Design and manage interactive dashboards (Looker Studio, Power BI, Streamlit, Tableau)

-Automate reporting and analysis workflows using Python, SQL, and Excel/Google Sheets

-Conduct data validation, anomaly detection, and trend analysis

-Collaborate with internal teams to convert outputs into strategic insights

Required Skills

-Strong in Python (pandas, numpy, requests, matplotlib/plotly)

-Proficient with APIs (REST, OAuth, rate-limit handling)

-Familiar with NLP & ML libraries

-Experience in SQL and database management (BigQuery, MySQL, Postgres)

-Comfortable with Excel/Google Sheets automation

-Skilled in data visualization & dashboarding (Looker Studio, Power BI, Tableau, or Streamlit)

-Good grasp of statistics and ability to interpret trends Eligibility -Minimum 1 year of relevant experience in data engineering, analytics, or similar role -Hands-on experience with APIs (fetching, cleaning, structuring data) is mandatory

-Proficiency in Excel and dashboarding (Looker Studio / Power BI / Tableau) is a must

-Prior exposure to NLP or social media data will be preferred

-Proficiency in Telugu mandatory

Why Join Us

-Best-in-class pay with performance-linked growth opportunities

-Work on high-impact, large-scale data products in a fast-moving environment

-Continuous learning across data engineering, AI, and applied analytics -Ownership & visibility work closely with leadership and see your ideas implemented at scale

-Exposure to cutting-edge tech stacks and real-time problem-solving

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