Senior Data Modeller - Data Engineering Hybrid

Altimetrik

6 - 9 years

27 - 30 Lacs

hyderabad

Posted:4 weeks ago| Platform:

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Skills Required

snowflake er modeling tools etl tools big data technologies python compliance standards rdbms data security data governance ci/cd data warehouses sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Data Engineering + Data Modelling Developer

Key Responsibilities:

Design and implement efficient and scalable
data models
for analytical and operational use cases.
Develop and maintain
dimensional, relational
, and
NoSQL data models
based on business requirements.
Collaborate with data architects, business analysts, and engineering teams to understand data requirements and translate them into robust models.
Perform
data profiling, data quality checks
, and validation for source and target systems.
Support
ETL/ELT pipelines
by developing reusable data components and managing data flows.
Ensure data models are aligned with business goals and platform capabilities.
Contribute to
performance tuning
, indexing strategies, and optimization of queries and models.
Participate in code reviews, documentation, and continuous improvement initiatives.

Key Skills & Qualifications:

Strong experience (6-9 years) in
Data Modelling
conceptual, logical, and physical.
Expertise in tools such as
Erwin, PowerDesigner, or similar
.
Hands-on experience in
data engineering
using
SQL, Python, Spark, or Scala
.
Solid understanding of
data warehousing concepts, OLTP/OLAP systems
, and normalization techniques.
Experience working with
cloud platforms
(AWS/Azure/GCP) is a plus.
Familiarity with
modern data architectures
such as
Data Lakes
and
Lakehouse
models is preferred.
Excellent analytical, communication, and stakeholder collaboration skills.

Why Join Altimetrik?

Work on cutting-edge data transformation initiatives.
Fast-paced, innovation-driven culture.
Opportunity to collaborate with global teams and industry-leading clients.

Apply now

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