DE&A - Core - Data Engineer (Snowflake, Python, AWS)
India
Zensar
Zensar is a global organization which conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for over 200 leading companies. Our solutions leverage industry-leading platforms to...Job Title: Data Engineer (Snowflake, Python, AWS)
Experience: 5-8 Years
Job Summary:
We are looking for a highly skilled Data Engineer with expertise in Snowflake, Python, and AWS to join our team. The ideal candidate will have 5-8 years of experience in designing, building, and optimizing data pipelines, ensuring data integrity, and enabling efficient data storage and retrieval. This role requires strong analytical skills, problem-solving abilities, and hands-on experience with cloud-based data architectures.
Key Responsibilities:
- Design, develop, and optimize ETL/ELT pipelines using Python and Snowflake.
- Implement and maintain cloud-based data solutions on AWS (S3, Lambda, Glue, Redshift, etc.).
- Work with structured and unstructured data from multiple sources to build efficient data models.
- Develop and maintain data lakes and data warehouses, ensuring high availability and security.
- Optimize SQL queries and Snowflake performance through best practices.
- Automate data workflows and support CI/CD pipelines for data engineering processes.
- Collaborate with data scientists, analysts, and business teams to provide high-quality data solutions.
- Ensure data quality, security, and compliance with industry best practices.
Required Skills & Qualifications:
- 5-8 years of experience in data engineering.
- Expertise in Snowflake architecture, optimization, and data modeling.
- Strong proficiency in Python for data processing and automation.
- Experience with AWS services like S3, Lambda, Glue, Redshift, and Step Functions.
- Hands-on experience with ETL/ELT tools and data pipeline orchestration.
- Strong SQL skills and experience in query optimization.
- Knowledge of data security, governance, and compliance best practices.
- Experience with Airflow, DBT, or similar orchestration tools is a plus.
- Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications:
- Experience with Big Data technologies (Spark, Kafka, etc.).
- Knowledge of machine learning pipelines or real-time data processing.
- Certification in AWS, Snowflake, or Python is a plus.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Big Data CI/CD Data pipelines Data quality dbt ELT Engineering ETL Kafka Lambda Machine Learning Pipelines Python Redshift Security Snowflake Spark SQL Step Functions Unstructured data
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