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The position is offered as job of Data Engineer Snowflake (AWS), PySpark Hucon Solutions India Pvt.Ltd. on MYTAT.

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The position is offered by Hucon Solutions India Pvt.Ltd. on MYTAT.

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What is the experience required for this job?

6 - 6 Years of experience is required for this job.

What are the skills required for this job?

Following skills are required for this job: aws Data Engineering Snowflake ETL elt pyspark

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The job is offered as a Full Time job.

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The job is offered as a Office Location job.

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Hucon Solutions India Pvt.Ltd.
Data Engineer Snowflake (AWS), PySpark

Data Engineer Snowflake (AWS), PySpark Hucon Solutions India Pvt.Ltd.

Hucon Solutions India Pvt.Ltd.
Office Location
Full Time

Experience: 6 - 6 years required

Pay: INR 1800000 - INR 3000000 /year

Type: Full Time

Location: Bangalore

Skills: aws, Data Engineering, Snowflake, ETL, elt, pyspark

Company Overview

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About Hucon Solutions India Pvt.Ltd.

Job Description

Job Title: Data Engineer Snowflake (AWS), PySpark

Experience: 6 -8 years
Salary Range: 15 -30 LPA
Locations: Bangalore, Chennai, Hyderabad

Job Summary:

We are looking for a highly skilled Data Engineer with strong expertise in Snowflake on AWS and PySpark. The ideal candidate will be responsible for building robust, scalable data pipelines and enabling advanced analytics through efficient cloud-based data solutions.

Key Roles & Responsibilities (R&Rs):

1. Data Pipeline Development

Design and implement efficient ETL/ELT pipelines using PySpark.
Integrate structured and unstructured data into Snowflake hosted on AWS.
Optimize pipeline performance for large-scale data processing.

2. Snowflake Development & Administration

Design and develop scalable data models in Snowflake.
Write and optimize SQL queries, manage virtual warehouses, and handle Snowflake security roles.
Implement Snowflake-specific features such as Snowpipe, Streams, Tasks, and Time Travel.

3. AWS Ecosystem Integration

Work with AWS services such as S3, Lambda, Glue, Redshift, and IAM.
Ensure smooth data ingestion from AWS sources to Snowflake.

4. Collaboration & Support

Partner with data analysts, scientists, and business users to understand data needs.
Ensure data quality, reliability, and accessibility across stakeholders.
Document technical designs and support knowledge transfer within the team.

Required Skills & Qualifications:

Bachelors/Masters degree in Computer Science, Engineering, or related field.
68 years of experience in data engineering.
Hands-on experience with Snowflake on AWS (including architecture, SQL, and performance tuning).
Strong programming skills in PySpark and Python.
Experience in building and maintaining big data pipelines.
Proficient in SQL and performance optimization.

Preferred Skills (Good to Have):

Knowledge of data governance, data security, and data cataloging tools.
Familiarity with CI/CD pipelines (e.g., Git, Jenkins, Terraform).
Certifications: Snowflake SnowPro, AWS Data Analytics Specialty.