Data Engineering Manager
5 days ago
POSITION
:
Quality Data Architect, Data Engineering Manager / Director
YOE
: YEARS ( 2+ years in a Leadership role )
CTC RANGE
: 80LPA - 1 Cr
Mandatory :
Product (B2B SAAS)
(Company
)
Role & Responsibilities
- Lead and mentor a team of data engineers, ensuring high performance and career growth.
- Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
- Drive the development and implementation of data governance frameworks and best practices.
- Work closely with cross-functional teams to define and execute a data roadmap.
- Optimize data processing workflows for performance and cost efficiency.
- Ensure data security, compliance, and quality across all data platforms.
- Foster a culture of innovation and technical excellence within the data team.
Ideal Candidate
- 10+ years
of experience in software/data engineering, with at least 3+ years in a leadership role. - Expertise in backend development with programming languages such as
Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS. - Proficiency in
SQL, Python, and Scala for data processing and analytics. - Strong understanding of
cloud platforms (AWS, GCP, or Azure) and their data services. - Strong foundation and expertise in
HLD and LLD,
as well as design patterns, preferably using Spring Boot or Google Guice - Experience in
big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks. - Hands-on experience with
data warehousing solutions such as Snowflake, Redshift, or BigQuery - Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
- Experience in
NoSQL databases like Redis, Cassandra, MongoDB, and TiDB. - Familiarity with automation and
DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. - Proven ability to drive technical strategy and align it with business objectives.
- Strong leadership, communication, and stakeholder management skills.
Preferred Qualifications:
- Experience in machine learning infrastructure or MLOps is a plus.
- Exposure to real-time data processing and analytics.
- Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
- Prior experience in a SaaS or high-growth tech company.
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