Accolite

Sr. RDMS Engineer

Posted On

Jan. 28, 2026

Location

Hyderabad, Telangana

Experience Level

5 - 10 Years Exp.

Job Type

Full Time

Apply By

April 4, 2026

Job Description

A Senior RDBMS Engineer for data pipelinesdesigns, builds, and optimizes high-performance ETL/ELT workflows and relational database schemas to ensure reliable data ingestion, transformation, and storage. This role requires 5+ years of experience in SQL, database performance tuning, data modeling, and developing scalable data pipelines using tools like Python, Spark, and cloud platforms (AWS/Snowflake) to support analytics, data science, and BI teams.

Key Responsibilities

Pipeline Design & Development:Create, maintain, and optimize scalable ETL/ELT pipelines and workflows for seamless data ingestion from diverse sources.
Database Management:Design complex SQL queries, stored procedures, and relational data models/schemas for performance and scalability.
Performance Optimization:Tune SQL queries, database functions, and ETL jobs for cost-efficiency and speed.
Data Quality & Integrity:Implement robust testing, validation, and monitoring to ensure data accuracy, completeness, and reliability.
Architecture & Collaboration:Work with data scientists and engineers to build data infrastructure, supporting the full AI/ML lifecycle.
Data Modeling & Warehousing:Develop Data Flow Diagrams (DFD) and ER models, focusing on data warehousing, using tools like Snowflake, Redshift, or Oracle.

Required Technical Skills

Languages:Strong proficiency in SQL (complex queries) and Python.
Database Systems:Expert-level knowledge of RDBMS (Oracle, MS SQL, PostgreSQL, MySQL).
ETL/Workflow Tools:Experience with Apache Airflow, Kafka, Spark, or similar technologies.
Cloud/Big Data:Experience with AWS (S3, Redshift, Athena) or cloud-native data warehouses.
Data Governance:Experience implementing security, data modeling best practices, and documentation.

Experience & Qualifications

Bachelor’s or Master’s degree in Computer Science or related field.
Typically 5-10+ years of experience in data engineering, database administration, or related roles.
Proven ability to lead projects and guide junior team members.

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