Senior Data Engineer
3 weeks ago
Senior Data Engineer (Azure Databricks)
Location:
Hyderabad / Ahmedabad (Hybrid)
Experience:
5+ Years
Only candidates available for immediate joining are preferred.
Job Overview:
We are looking for a
Senior Data Engineer
with expertise in
Azure Databricks
to design, develop, and optimize large-scale data solutions. The ideal candidate will have strong experience in
ETL processes, big data processing, and distributed computing
using
Azure Databricks and Apache Spark . This role will focus on
building scalable data pipelines, transforming raw data into valuable business insights, and ensuring high-performance data processing .
Key Responsibilities:
Databricks & Big Data Engineering:
Design and develop
efficient, scalable, and optimized data pipelines
using
Azure Databricks .
Implement
ETL/ELT workflows
for structured and unstructured data using
Apache Spark (PySpark, Spark SQL) .
Work with
Databricks notebooks
to perform
data transformation, aggregation, and complex data operations .
Optimize
data workflows and pipeline performance
to ensure
cost efficiency and scalability .
Collaborate with cross-functional teams to enable
data-driven decision-making .
Qualifications:
Bachelor's or Master's degree
in Computer Science, Information Technology, or a related field.
5+ years of experience
in Data Engineering, with at least
2+ years specializing in Azure Databricks and Apache Spark .
Strong hands-on experience with
PySpark, Spark SQL, and Databricks notebooks .
Expertise in
ETL/ELT development, data transformation, and pipeline optimization .
Proficiency in
Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and other Azure data services .
Solid understanding of
distributed computing, performance tuning, and cloud data architecture .
Knowledge of
data governance, security policies, and compliance in cloud environments .
Excellent problem-solving skills with a focus on
big data workflows and optimizations .
Strong communication and collaboration skills.
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