Job Description

Job Title:

Data Engineer

Experience:

4-6 Years

Location:

Hyderabad (Onsite)

Employment Type:

Contract (6 Months - 1 Year)

Industry:

Information Technology / Data Engineering / Cloud

Working Model:

Onsite

About the Role:

We are seeking a highly skilled and motivated

Data Engineer

with strong experience in building scalable data pipelines and working with modern cloud-based data ecosystems. The ideal candidate will have hands-on experience with

Databricks, Apache Spark, and Google Cloud Platform (GCP)

, especially

BigQuery

, and a passion for driving data initiatives that power intelligent decision-making across the organization.

Key Responsibilities:

Design, build, and optimize large-scale, reliable data pipelines using

Databricks

,

GCP (BigQuery)

, and other modern tools. Perform advanced

SQL

querying,

data wrangling

, and complex

data transformations

to support analytics and machine learning initiatives. Handle structured and semi-structured data, and apply

Exploratory Data Analysis (EDA)

techniques to derive insights. Work closely with

data scientists

to implement and deploy

data models

and pipelines into

production

environments. Ensure

data quality, reliability, lineage

, and

security

across the entire data pipeline lifecycle. Participate in

data architecture

discussions and influence decisions around

data design and storage strategy

. Contribute to data democratization by ensuring business users have access to clean and usable data. Create detailed documentation and reusable frameworks for data ingestion, transformation, and operational workflows.

Required Skills & Qualifications:

3-6+ years

of experience in a Data Engineering role or similar. Strong expertise in

Databricks

and

Apache Spark

. Deep hands-on experience with

GCP BigQuery

- including performance tuning, partitioning, and optimization. Proficiency in

advanced SQL

- including complex joins, CTEs, window functions, and query optimization. Solid experience with

Python

for data manipulation and developing robust pipelines. Familiarity with

data science concepts

- such as feature engineering, basic model implementation, and evaluation metrics. Knowledge of

data profiling

,

EDA

, and

statistical analysis

. Sound understanding of

data structures

,

normalization/denormalization

, and

metadata management

. Demonstrated understanding of how data impacts business decisions and product development. Strong

problem-solving

, communication, and collaboration skills.

Education:

Bachelor's degree in

Computer Science

,

Information Systems

,

Engineering

,

Computer Applications

, or a related technical discipline.

Preferred Qualifications (Nice to Have):

Exposure to modern data orchestration tools (e.g., Airflow, dbt). Experience working in Agile environments and cross-functional teams.
For more information or to apply, contact us at:

-career@munificentresource.in

-Call/WhatsApp: +91 9064363461

-Subject Line:

Application for Data Engineer - Hyderabad

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Job Types: Full-time, Contractual / Temporary
Contract length: 6 months

Pay: Up to ?70,000.00 per month

Work Location: In person