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Cyient
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Data Engineer

Data Engineer

Cyient

8 years

0 Lacs

hyderabad telangana india

Posted:5 days ago| Platform:

Apply

Skills Required

data database design oracle flow apache nifi spark aws postgresql configuration tuning goldengate replication security compliance integration processing sql etl technology engineering query governance

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview:

We are looking for a skilled

Database & Data Engineer

to design, build, and maintain robust data solutions on

AWS

. The ideal candidate will have hands-on experience with

RDS (Oracle & PostgreSQL)

data lakes

, and

streaming platforms

, ensuring efficient data flow and high availability across systems.

Key Responsibilities:

Develop and maintain data pipelines using Apache NiFi and Spark for batch and streaming data processing.
Manage AWS RDS instances for Oracle and PostgreSQL, including configuration, performance tuning, and troubleshooting.
Implement and optimize data lakes on AWS S3 using Apache Iceberg for structured and semi-structured data.
Build and manage real-time data streaming solutions with AWS Kinesis.
Configure and operate Oracle GoldenGate (OGG) for data replication and synchronization.
Ensure data quality, security, and compliance across all data platforms.
Collaborate with data architects and analysts to deliver scalable and reliable data solutions.

Required Skills & Expertise:

AWS Services: RDS (Oracle & PostgreSQL), S3, Kinesis.
Data Lake & Table Formats: Apache Iceberg.
Data Integration & Streaming: Apache NiFi, Oracle GoldenGate (OGG).
Big Data Processing: Apache Spark.
Strong SQL and database fundamentals.
Experience in ETL design, data modeling, and performance optimization.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.
5–8 years of experience in data engineering and database management.
Hands-on experience with AWS-based data solutions.

Nice-to-Have:

Familiarity with AWS Glue, Athena, or similar query engines.
Knowledge of data governance and security best practices.
Exposure to CI/CD pipelines for data workflows.

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