Job Description

Job Description: Data Scientist with Data Engineering Skills

Role Overview:

We are looking for a Data Scientist with Data Engineering skills to bridge the gap between data science and data infrastructure. In this role, you will build scalable data pipelines , develop machine learning models , and optimize big data workflows to support data-driven decision-making.

Responsibilities:

Design, build, and maintain ETL/ELT data pipelines for data extraction, transformation, and loading.
Develop and optimize machine learning models for predictive analytics and decision-making.
Work with big data technologies (Apache Spark, Hadoop, Kafka) to process large datasets efficiently.
Design and manage data warehouses and data lakes (AWS Redshift, BigQuery, Snowflake).
Implement data governance practices, ensuring data quality, security, and compliance (GDPR, HIPAA).
Collaborate with data engineers, analysts, and software developers to improve data accessibility.
Automate workflows using Apache Airflow, dbt, or Prefect .
Deploy models and data applications using Docker, Kubernetes, and CI/CD pipelines .
Optimize SQL queries and improve database performance for analytical queries.

Requirements:

Programming: Python (Pandas, NumPy, PySpark), SQL, Bash

Machine Learning: Scikit-learn, TensorFlow/PyTorch (basic knowledge)

Data Engineering Tools: Apache Spark, Hadoop, Airflow, dbt

Databases: PostgreSQL, MySQL, MongoDB, Cassandra

Cloud Platforms: AWS (S3, Redshift, Glue), GCP (BigQuery, Dataflow), Azure (Synapse, Data Factory)

Big Data & Streaming: Kafka, Flink (nice to have)

DevOps & Deployment: Docker, Kubernetes, Git, CI/CD

Preferred Qualifications:

Experience working with structured and unstructured data at scale.
Understanding of data warehousing concepts and best practices .
Strong problem-solving and communication skills.
Ability to work across teams , including business, engineering, and analytics.

Why Join Us?

Work on end-to-end data solutions combining data science and engineering.
Access to cutting-edge cloud and AI technologies .
Collaborative team and opportunities for growth in both data science and engineering domains.

Job Tags

Full time, Internship, Seasonal work,

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