Required skills and experience

•5+ years of hands-on experience in data science and data engineering, with a strong emphasis on building production data pipelines

•Proven ability to architect end-to-end data pipelines: ingestion, transformation, feature engineering,

and multi-consumer serving layers

•Prior experience taking at least one data product to production from concept to deployment

•Strong proficiency in Python; hands-on experience with pipeline orchestration tools (e.g., Apache

Airflow, Prefect, or equivalent)

•Experience designing and operating streaming data pipelines (e.g., Kafka, MQTT, Spark Streaming, or equivalent) alongside batch ETL/ELT workflows

•Solid SQL skills and experience with cloud data warehouses or lakehouses (e.g., BigQuery, Redshift,

Databricks, Delta Lake)

•Familiarity with edge-to-cloud data architectures: local buffering, reliable forwarding, schema evolution, and backpressure handling

•Strong foundation in statistics, experimentation,



and machine learning able to build and deploy models that consume the platform's data

•Hands-on experience with DevOps and DataOps practices: CI/CD, data quality testing, schema contracts, and automated monitoring

•Experience designing data products for diverse consumers — from self-serve BI analysts to ML engineers to external API clients

•Drive to address complex data problems with scalable, maintainable technical solutions

•Ability to manage multiple priorities in a fast-paced and dynamic work setting

•Desire to work in a highly collaborative, innovative, small team

•Strong initiative, self-starter, quick-learner, proactive contributor

•Ability to work effectively across cross-functional teams (engineering, product, analytics, and business stakeholders); open to new technologies and evolving priorities

•Excellent presentation and written / oral communication skills

📌 Data Scientist (Hyderabad)
🏢 ESSCORP TECH
📍 Hyderabad