Urgently Hiring: Data Engineer

Amazatic; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Amazatic is seeking an experienced Data Engineer in Pune District, India, with at least 5 years of experience. Candidates should possess strong SQL and Python skills, along with expertise in ETL processes and data modeling. Relevant technologies include Snowflake and AWS services.

The role involves translating business needs into data models and analyzing data integration challenges. Candidates with knowledge about the Insurance Domain are preferred. Join us to contribute to our data architecture direction!

Qualifications

• 5+ Years of experience as a Data Engineer.
• Strong technical expertise in SQL with advanced querying skills.
• Strong experience with Python and knowledge of ETL processes.

Responsibilities

• Understand and translate business needs into data models supporting long-term solutions.
• Perform reverse engineering of physical data models from databases.
• Analyze data-related system integration challenges and propose solutions.

Skills

SQL

Snowflake

Python

AWS

Tools

ETL

CI/CD

Job description

Qualifications

• 5+ Years of experience as a Data Engineer
• Strong technical expertise in SQL – Advanced SQL querying skills (joins, subqueries, CTEs, aggregation)
• Strong knowledge of joins and common table expressions (CTEs)
• Strong experience with Python
• Experience in Snowflake, ETL, SQL, CI/CD
• Strong expertise in ETL process and with various data model concepts
• Knowledge of star schema and snowflake schema
• Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue

Nice to Have

• Experience with Big Data Tools and technologies
• Good Understanding of data structures and data analysis
• Knowledge of Insurance Domain is an addition.

Key Skills

• SQL, Snowflake, Python, AWS

Responsibilities

• Understand and translate business needs into data models supporting long-term solutions.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Analyze data‑related system integration challenges and propose appropriate solutions.
• Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data‑related considerations to ensure business value)