Job
Title: Senior Data Engineer – Technical Expert / Lead
Location:
Sector 63 Noida,
Department:
Data Engineering / Analytics / Technology
Reports
To: Head of Data Engineering / Director – Technology
Job
Summary:
We are looking for a Senior Data Engineer
– Technical Expert to lead the design, development, and optimization of our
data infrastructure and pipelines. The ideal candidate will possess deep
expertise in modern data engineering technologies, data modeling, ETL
frameworks, and cloud platforms. As a lead-level data professional, you will
mentor junior engineers, drive best practices, and collaborate closely with
data scientists, analysts, and product teams to deliver scalable,
high-performance data solutions.
Key
Responsibilities:
- Lead the design, architecture, and implementation
of large-scale data pipelines and ETL processes.
- Develop, optimize, and maintain data ingestion,
transformation, and storage solutions across multiple systems.
- Build and manage data models, schemas, and data
warehouses to support analytics and reporting needs.
- Ensure data integrity, accuracy, and reliability
through automated validation and monitoring mechanisms.
- Collaborate with cross-functional teams (Data Science,
BI, Product, DevOps) to define and deliver high-quality data solutions.
- Implement and enforce data engineering standards,
best practices, and governance frameworks.
- Oversee data migration and integration projects
across on-premises and cloud environments (AWS, Azure, or GCP).
- Evaluate and recommend new technologies, tools, and
methodologies to enhance the data ecosystem.
- Lead, mentor, and guide junior engineers, conducting code
reviews and technical training sessions.
- Ensure solutions are scalable, secure, and
cost-efficient within the organization’s cloud infrastructure.
Qualifications
& Skills:
5+
years of hands-on experience in Google AppSheet & Google Looker
Strong
understanding of App Script, Data Modeling, and Automation Logic
Ability
to lead and guide existing junior data engineers
Experience
in project delivery, best practices, and workflow design
Engagement
Type: Full-time contract-based resource
Project
time line-3-4 months
- Education:
Bachelor’s or Master’s degree in Computer Science, Information Technology,
or a related field.
- Experience:
7–12 years of experience in data engineering, with at least 2–3 years
in a lead or senior technical role.
- Strong proficiency in SQL, Python, and/or Scala.
- Expertise in ETL tools and frameworks (e.g.,
Apache Airflow, Informatica, Talend, dbt).
- Hands-on experience with big data technologies
such as Hadoop, Spark, Kafka, or Flink.
- Deep understanding of data modeling, warehousing
(Snowflake, Redshift, BigQuery), and OLAP systems.
- Proven experience with cloud data platforms (AWS
Glue, Azure Data Factory, GCP Dataflow, etc.).
- Familiarity with CI/CD pipelines,
containerization (Docker, Kubernetes), and version control (Git).
- Knowledge of data governance, security, and
compliance frameworks.
- Excellent problem-solving, analytical, and leadership
skills.
- Strong communication and collaboration abilities for
cross-functional coordination.
Preferred
Qualifications:
- Certification in AWS, Azure, or GCP Data Engineering.
- Experience in real-time data processing and
streaming analytics.
- Exposure to machine learning pipelines or MLOps
frameworks.
- Familiarity with tools like Databricks, Terraform,
or Apache NiFi.
What
We Offer:
- Competitive compensation with performance-based
incentives.
- Opportunity to lead and influence strategic data
initiatives.
- Exposure to cutting-edge technologies in cloud and big
data.
- Collaborative, innovation-driven work environment.
- Learning and certification support for continuous
growth.
