Senior Specialist - Data Engineering

Vivantify Technology Solutions India Pvt. Ltd.; Hyderabad; Vor Ort; INR 1.800.000 - 2.400.000; Vollzeit

Zusammenfassung

Vivantify Technology Solutions India Pvt. Ltd. in Hyderabad is seeking a Senior Specialist - Data Engineering to design and implement end-to-end ETL/ELT pipelines, develop robust data models, and support analytical workloads with Snowflake and advanced SQL.

The ideal candidate has 7–11 years of data engineering experience, expert Snowflake/SQL skills, and a track record of building scalable data pipelines with PostgreSQL and dimensional modeling.

Qualifikationen

• 7–11 years of experience in data engineering.
• expert-level proficiency in Snowflake and advanced SQL.
• Strong experience in ETL/ELT pipeline development and dimensional data modeling.

Aufgaben

• Design and implement ETL/ELT data pipelines for analytical workloads.
• Develop and optimize data solutions using Snowflake.
• Write and optimize advanced SQL queries for data processing and analysis.
• Design effective dimensional data models for analytical requirements.
• Apply data engineering principles to build reliable data pipelines.
• Work with PostgreSQL for data storage and processing requirements.
• Support scalable and efficient data solutions for analytical workloads.

Kenntnisse

Snowflake

Advanced SQL

ETL/ELT pipelines

Dimensional modeling

ETL concepts

PostgreSQL

Data engineering

Analytical data modeling

Jobbeschreibung

About The Role

We are looking for a

Location

Hyderabad

Experience

7–11 Years

About The Role

We are looking for a Senior Specialist - Data Engineering with expert-level expertise in Snowflake and advanced SQL. The role focuses on designing and implementing ETL/ELT pipelines, developing robust data models, and supporting analytical workloads through scalable data engineering solutions.

Job Description

The role involves designing and implementing end-to-end ETL/ELT data pipelines to support analytical data requirements. The candidate will work extensively with Snowflake and advanced SQL to develop and manage data engineering solutions.

Strong data modeling expertise is required to structure data effectively for analytical workloads. The position also requires a solid understanding of ETL concepts and experience working with PostgreSQL.

Key Responsibilities

• Design and implement ETL/ELT data pipelines for analytical workloads.
• Develop and optimize data solutions using Snowflake.
• Write and optimize advanced SQL queries for data processing and analysis.
• Design effective dimensional data models for analytical requirements.
• Apply data engineering principles to build reliable data pipelines.
• Work with PostgreSQL for data storage and processing requirements.
• Support scalable and efficient data solutions for analytical workloads.

Required Skills

• Snowflake
• Advanced SQL
• ETL/ELT pipeline design and implementation
• Dimensional Data Modeling
• ETL Concepts
• PostgreSQL
• Data engineering
• Data modeling for analytical workloads

Mandatory Skills

• Dimensional Data Modeling
• ETL Concepts
• PostgreSQL
• Snowflake

Candidate Profile

The ideal candidate will have 7–11 years of experience in data engineering, with expert-level proficiency in Snowflake and advanced SQL. Strong experience in ETL/ELT pipeline development and dimensional data modeling is essential for this role.

Benefits Package

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients