Data Engineer

Synechron; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Synechron, Bengaluru-based technology consulting firm, is seeking a Senior Data Engineer to design and deliver end-to-end data solutions using AWS, Spark, Scala, and GenAI-powered tooling. You will build scalable ETL pipelines, work with Oracle SQL/PL-SQL and big data platforms, and collaborate across business, operations and engineering teams to ensure secure, highly available data architectures.

Immediate joiner preferred; notice: 15 days.

Qualifications

• 9+ years of experience in Data Engineering, Analytics, or Data Warehousing.
• Experience in AWS cloud data engineering.
• Strong ETL pipeline development experience.
• Proficient in Oracle SQL/PL-SQL.
• Experience with Teradata, Hadoop, Hive.
• Programming in Python is preferred.
• GenAI frameworks such as Lang Chain, Llama, Hugging Face.

Responsibilities

• Design and deliver end-to-end data solutions aligned to business objectives.
• Build scalable ETL pipelines and data architectures.
• Lead or contribute to technical design and implementation.
• Collaborate with business, operations, and engineering teams.
• Influence stakeholders to deliver secure, scalable, and highly available solutions.
• Participate in Agile delivery from ideation to production.
• Drive engineering best practices and continuous improvement.
• Ensure solutions align with enterprise risk and governance standards.

Skills

Spark

Scala

Big Data platforms

AWS cloud data engineering

ETL pipeline development

Oracle SQL / PL-SQL

Teradata

Hadoop

Hive

Python

GenAI frameworks (Lang Chain, Llama,HF

Job description

Good day,

We have opportunity for AWS Data Engineer

Job Role:

AWS Data Engineer

Job Location: Synechron

( Bengaluru )

Experience-

8 to 10 years

Notice: Immediate joiner to 15 days.

About Synechron:

Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering.

Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.

Job Description

Senior Data Engineer - AWS, Spark, Scala, Big Data & GenAI

Experience

• 9+ years of experience in Data Engineering, Analytics, or Data Warehousing.

Core Technical Skills

• Spark, Scala, Big Data platforms
• AWS cloud data engineering
• ETL pipeline development
• Oracle SQL / PL-SQL
• Teradata, Hadoop, Hive
• Python (preferred)
• GenAI frameworks such as Lang Chain, Llama, Hugging Face etc.

Key Responsibilities

• Design and deliver end-to-end data solutions aligned to business objectives.
• Build scalable ETL pipelines and data architectures.
• Lead or contribute to technical design and implementation.
• Collaborate with business, operations, and engineering teams.
• Influence stakeholders to deliver secure, scalable, and highly available solutions.
• Participate in Agile delivery from ideation to production.
• Drive engineering best practices and continuous improvement.
• Ensure solutions align with enterprise risk and governance standards.