AWS Data Engineer + Databricks

10Decoders Consultancy Services; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

10Decoders Consultancy Services in Chennai is seeking an experienced Data Engineer to design and implement data engineering solutions. The successful candidate will have over 8 years of hands-on experience, particularly with AWS services and SQL development, and will work closely with a dynamic team to optimize data solutions.

Key requirements include strong knowledge of data warehouse concepts, programming in Python, and experience with PySpark or Spark Scala. Excellent communication and collaboration skills are essential.

Qualifications

• 8+ years of hands-on experience in design and implementation of data engineering solutions.
• Strong hands-on experience in SQL development including performance tuning.
• Good understanding of AWS services and modern data architecture patterns.

Responsibilities

• Design and implement data engineering solution components.
• Optimize and maintain data engineering solutions.
• Collaborate with teams to develop complex data pipelines.

Skills

SQL development

Python

AWS services

PySpark/Spark Scala

Data governance

Version control with Git

DevOps processes

Data architecture patterns

BI/visualization tools like Tableau

Job description

As a Data Engineer, you will be part of a dynamic team of data engineers and being

responsible for technical design, implementation, optimizing and maintenance

of data engineering solution components for our customers. Your will be required to

have strong hands-on experience in implementing complex data engineering solutions

on AWS along with Databricks experience, with a good understanding of data warehouse, data lake and lake-house

Requirements

8+years of hands‑on experience in design, development and implementation

of data engineering solutions

Good understanding of database concepts and strong hands‑on experience in

SQL development, including performance tuning and query optimization

Good understanding of programming concepts with Python

Strong hands‑on experience in implementing data pipelines using PySpark or

Spark Scala

o Must have an understanding of streaming data pipelines for near real‑time

analytics

Hands‑on experience and good understanding of AWS services

Good understanding and experience working with at‑least one NoSQL database

Good understanding of modern data architecture patterns and industry trends

Good understanding of data governance concepts for data platforms and

analytical solutions

Experience with version control tools like Git for managing version control for

source code

Experience with DevOps processes, including experience implementing CI/CD

Strong analytical and problem‑solving skills.

Excellent communication and collaboration skills

Good to Have

Certifications on AWS platform, preferably related to Data Engineering, Databricks

Experience working with Amazon AppFlow, EKS, API Gateway, NoSQL database

services

Good understand and experience working with BI/visualization tools like Tableau