Big Data Engineer

Suzva Software Technologies

6 - 8 years

6 - 8 Lacs

Delhi Delhi India

Posted:1 day ago| Platform: Foundit logo

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Skills Required

snowflake snowpark

Work Mode

On-site

Job Type

Full Time

Job Description

Senior Big Data Engineer

Key Responsibilities:

Design, develop, and maintain
end-to-end scalable data pipelines
for high-volume batch and real-time use cases.
Implement advanced
data transformations
using
Spark, Snowpark, Pig
, and
Sqoop
.
Process large-scale datasets from varied sources using tools across the
Hadoop ecosystem
.
Optimize data storage and retrieval in
HBase
,
Hive
, and other NoSQL stores.
Collaborate closely with
data scientists, analysts, and business stakeholders
to enable data-driven decision-making.
Ensure data
quality, integrity, and compliance
with enterprise security and governance standards.
Tune and troubleshoot
distributed data applications
for performance and efficiency.

Must-Have Skills:

5+ years in Data Engineering or Big Data roles
Expertise in:
Snowflake (Snowpark)
Apache Spark
MapReduce, Hadoop
Sqoop, Pig, HBase
Strong knowledge of:
ETL/ELT pipeline design
Distributed computing principles
Big Data architecture & performance tuning
Proven experience handling
large-scale data ingestion
, processing, and transformation

Nice-to-Have Skills:

Workflow orchestration with
Apache Airflow
or
Oozie
Cloud experience:
AWS, Azure, or GCP
Proficiency in
Python
or
Scala
Familiarity with
CI/CD pipelines
, Git, and DevOps environments

Soft Skills:

Strong problem-solving and analytical mindset
Excellent communication and documentation abilities
Ability to work independently and within cross-functional Agile teams

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