Data Engineer

Srinav; Hyderabad, Chennai District; Hybrid; INR 1,400,000 - 2,100,000; Full time

Job summary

Srinav is seeking an experienced Data Engineer with strong hands‑on expertise in Snowflake, Databricks and AWS data services to design, develop and enhance scalable data engineering solutions.

The ideal candidate will have deep knowledge of data pipelines, ETL/ELT, SQL, data warehousing and cloud‑based data engineering to deliver robust data solutions across ingestion, transformation and processing workflows.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline.
• 5–8 years of Data Engineering experience.
• Strong hands‑on experience with Snowflake, Databricks and AWS data services.

Responsibilities

• Design, develop and maintain scalable data pipelines and data engineering solutions.
• Build data ingestion, transformation and processing workflows using cloud technologies.
• Develop and optimize data solutions using Snowflake and Databricks.
• Develop and maintain pipelines using AWS Glue, S3 and Lambda.
• Perform data transformation, cleansing, validation and integration.
• Develop complex and efficient SQL queries and optimize data warehouse workloads.
• Work with business and technical stakeholders to understand data requirements.
• Participate in solution design, development, testing and deployment.
• Troubleshoot data pipeline and application issues and perform root cause analysis.
• Participate in code reviews and technical discussions.
• Monitor data pipelines and proactively resolve data processing issues.
• Support production deployments and release activities.
• Create and maintain technical documentation and operational procedures.

Education

Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline

Tools

Snowflake

Databricks

AWS Glue

AWS Lambda

Amazon S3

SQL

PySpark

Delta Lake

Databricks notebook

ETL/ELT

Data pipelines

Data warehousing

Data modelling

Python

Spark

Kafka

Apache Airflow

ODI

OAC

PL/SQL

Git

CI/CD

DevOps

Datadog

Job description

Data Engineer Snowflake | Databricks | AWS

Job Title: Data Engineer
Position: Software Engineer
Experience: 48 Years
Location: Chennai / Hyderabad
Work Mode: Hybrid
Shift: 5:30 PM – 2:30 AM IST
Employment Type: Full Time

Job Description

We are looking for experienced Data Engineers with strong hands‑on experience in Snowflake, Databricks and AWS data services to design, develop and enhance scalable data engineering solutions.

The ideal candidate should have strong expertise in data pipelines, ETL/ELT, SQL, data transformation, data warehousing and cloud‑based data engineering.

Key Responsibilities

• Design, develop and maintain scalable data pipelines and data engineering solutions.
• Build data ingestion, transformation and processing workflows using cloud technologies.
• Develop and optimize data solutions using Snowflake and Databricks.
• Develop and maintain pipelines using AWS Glue, S3 and Lambda.
• Perform data transformation, cleansing, validation and integration.
• Develop complex and efficient SQL queries and optimize data warehouse workloads.
• Work with business and technical stakeholders to understand data requirements.
• Participate in solution design, development, testing and deployment.
• Troubleshoot data pipeline and application issues and perform root cause analysis.
• Participate in code reviews and technical discussions.
• Monitor data pipelines and proactively resolve data processing issues.
• Support production deployments and release activities.
• Create and maintain technical documentation and operational procedures.

Mandatory Skills

• 5–8 years of Data Engineering experience
• Strong hands‑on experience with Snowflake
• Strong hands‑on experience with Databricks
• Experience with AWS Glue
• Experience with Amazon S3 and/or AWS Lambda
• Strong SQL
• Strong understanding of ETL / ELT
• Experience building data pipelines
• Data transformation and processing
• Strong understanding of Data Warehousing and Data Modelling
• Experience with PySpark / Spark
• Experience with Delta Lake
• Databricks notebook-based development
• Troubleshooting and performance optimization

Preferred Skills

• ODI – Oracle Data Integrator
• OAC – Oracle Analytics Cloud
• PL/SQL
• Python
• Kafka / Amazon MSK
• Oracle Database
• Datadog
• Git
• CI/CD and DevOps
• Cloud monitoring and logging

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline.

Candidate Profile

The ideal candidate should have strong hands‑on experience in modern cloud data engineering and be capable of independently designing, developing, troubleshooting and optimizing data pipelines.

Candidates with experience across Snowflake + Databricks + AWS Glue + SQL + PySpark will be preferred.

Location: Chennai / Hyderabad
Work Mode: Hybrid
Shift: 5:30 PM – 2:30 AM IST