
Data Engineer
2 weeks ago
Data Engineer
Full-time | Noida Location
Experience:
3–6 Years
Job Description
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store data from various sources.
- Work with
Apache Spark
to process large datasets in a distributed environment, ensuring optimal performance and scalability. - Develop and optimize
Spark jobs
and data transformations using
Scala
for large-scale data processing. - Collaborate with data analysts and other stakeholders to ensure pipelines meet business and technical requirements.
- Integrate data from different sources (databases, APIs, cloud storage, etc.) into a unified data platform.
- Ensure
data quality, consistency, and accuracy
by building robust validation and cleansing mechanisms. - Use
cloud platforms (AWS, Azure, or GCP)
to deploy and manage data processing and storage solutions. - Automate data workflows and tasks using appropriate tools and frameworks.
- Monitor and troubleshoot pipeline performance, optimizing for efficiency and cost-effectiveness.
- Implement
data security best practices
, ensuring privacy and compliance with industry standards. - Stay updated with emerging
data engineering tools and technologies
to continuously improve the infrastructure.
Requirements
- 4–6 years of experience as a
Data Engineer
or in a similar role. - Strong hands-on experience with
Apache Spark
and
Scala
for distributed data processing and big data handling. - Basic knowledge of
Python
for writing data transformations and processing jobs in Spark. - Proficiency in
SQL
for querying and manipulating large datasets. - Experience with
cloud data platforms
, preferably
AWS
(S3, EC2, EMR, Redshift) or other cloud-based solutions. - Strong understanding of
data modeling, ETL processes
, and
pipeline orchestration
. - Familiarity with
containerization (Docker)
and cloud-native tools for deploying data solutions. - Knowledge of
data warehousing
concepts and experience with
AWS Redshift, Google BigQuery, or Snowflake
(preferred). - Experience with
version control systems
like Git. - Strong problem-solving skills and a proactive approach to technical challenges.
- Excellent communication and collaboration abilities.
Preferred Qualifications
- Experience with additional programming languages such as
Python, Java, or Scala
for data engineering tasks. - Familiarity with orchestration tools like
Apache Airflow
,
Luigi
, or similar frameworks. - Basic understanding of
data governance
,
security practices
, and
compliance regulations
.
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