Senior Data Engineer for Large-Scale Data Pipeline Development

19 hours ago


Delhi, Delhi, India ANSR Full time
About the Role:
ANSR is seeking a skilled Senior Data Engineer to join our team in Bangalore. In this role, you will be responsible for designing and implementing large-scale data pipelines using Python, Spark, SQL, Snowflake, dbt, and other relevant technologies.

Key Responsibilities:
• Design and develop scalable and efficient data pipelines using Python, Spark, SQL, Snowflake, and other relevant technologies.
• Utilize big data processing frameworks such as Apache Spark to process and analyze large volumes of data efficiently.
• Implement data transformations, aggregations, and business logic to support analytics and reporting requirements.
• Leverage cloud-based data platforms such as Snowflake to store and manage structured and semi-structured data at scale.
• Monitor and optimize data pipelines and ETL processes for performance, scalability, and reliability.

Preferred Qualifications:
• 3-5 years of experience in data engineering with proficiency in Python, Spark, SQL, Snowflake, dbt, and other relevant technologies.
• Strong understanding of distributed computing principles and big data processing frameworks such as Apache Spark.
• Hands-on experience with cloud-based data platforms such as Snowflake, AWS, Azure, or Google Cloud Platform.
• Experience with data modeling, ETL development, and data integration using SQL and Python.
• Familiarity with dbt (Data Build Tool) for managing data transformation and modeling workflows.

What We Offer:
• Estimated salary: ₹1,200,000 - ₹1,800,000 per year
• Competitive benefits package

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