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Urgent! Senior Data Engineer Job Opening In New Delhi – Now Hiring Tezo

Senior Data Engineer



Job description

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers.

We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Sr Data Engineer – Azure & Snowflake
Location: Hyderabad
Experience Level: 8–13 Years

8+ years

of experience in

data engineering and ETL development .
Strong proficiency in

SQL

(performance tuning, window functions, stored procedures).
Hands-on experience with

Azure Data Factory ,

Azure Synapse ,

Azure Data Lake , and

Databricks .
Snowflake

expertise in data loading, transformations, and query optimization.
Strong

Python

skills, including working with

Pandas / PySpark dataframes

in

Jupyter notebooks .
Experience with

data orchestration ,

workflow scheduling , and

CI/CD for data pipelines .
Good understanding of

data modeling principles ,

data governance , and

metadata management .

Key Responsibilities
Data Engineering & Pipeline Development
Design, build, and maintain

scalable and reusable data pipelines

for batch and real-time ingestion using

Azure Data Factory ,

Databricks , or

PySpark .
Develop and optimize

ETL/ELT workflows

to extract data from heterogeneous sources (files, APIs, databases, applications).
Build and maintain data processing logic using

Python, PySpark , and

SQL .
Work with

dataframes

in Jupyter notebooks for transformation, validation, and feature creation.
Data Architecture & Cloud Integration
Implement and maintain

data solutions on Azure and Snowflake .
Design and manage data storage layers —

staging, raw, curated, and consumption zones

within

Data Lake / Lakehouse

architecture.
Integrate structured and semi-structured data (JSON, Parquet, CSV, etc.) from multiple systems and sources.
Collaborate with architects and modelers to align pipelines with

data models and governance standards .
Performance Optimization & Data Quality
Optimize pipelines for performance, scalability, and cost efficiency.
Implement

data validation, error handling, and audit mechanisms

in ETL workflows.
Participate in

data profiling and quality assessments

to ensure reliability and accuracy.
Collaboration & Stakeholder Engagement
Work closely with

data modelers, analysts, and business teams

to translate functional requirements into technical solutions.
Participate in

code reviews ,

architecture discussions , and

Agile sprint ceremonies .
Document processes, data flow diagrams, and technical designs.


Required Skill Profession

Computer Occupations



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