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Data Engineer

Stealth AI Startup

2 - 4 years

0 Lacs

Greater Hyderabad Area

Posted:5 days ago| Platform:

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Skills Required

data ai vision cutting design support processing scalability spark ml learning automate testing troubleshooting engineering hadoop pyspark hive sqoop kafka airflow aws azure adf gcp programming python sql devops jenkins ansible kubernetes mysql oracle visualization tableau tensorflow communication collaboration collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

About Us:

Join our stealth-mode AI startup on a mission to revolutionize AI and data solutions. Headquartered in Hyderabad, we are a well-funded startup with a world-class team and a passion for innovation in AI, NLP, Computer Vision, and Speech Recognition.

Data Engineer

Role Overview:

Data Engineer

Key Responsibilities:

Develop and maintain robust data pipelines using tools like
PySpark
,
Kafka
, and
Airflow
.
Design and optimize data workflows for high scalability and performance using
Hadoop
,
HDFS
, and
Hive
.
Integrate structured and unstructured data from diverse sources into a centralized platform.
Leverage big data technologies for real-time processing and streaming using
Spark Streaming
and
Nifi
.
Work on
cloud-based platforms
such as
AWS
,
Azure
, and
GCP
to deploy and monitor scalable data solutions.
Collaborate with AI/ML teams to deploy machine learning models using
MLflow
and integrate AI capabilities into data pipelines.
Automate and monitor workflows to ensure seamless operations using
CI/CD pipelines
,
Kubernetes
, and
Docker
.
Implement data validation, performance testing, and troubleshooting of large-scale datasets.
Prepare and share actionable insights through BI tools like
Tableau
and
Grafana
.

Required Skills and Qualifications:

Education:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields.
Experience:
2 to 4 years in data engineering roles, working with big data ecosystems.

Technical Proficiency:

Big Data Tools:
Hadoop, HDFS, PySpark, Hive, Sqoop, Kafka, Spark Streaming, Airflow, Presto, Nifi.
Cloud Platforms:
AWS (Glue, S3, EMR), Azure (ADF, HDInsight), GCP (BigQuery, Pub/Sub).
Programming Languages:
Python, SQL, Scala.
DevOps & Automation:
Jenkins, Ansible, Kubernetes, Docker.
Databases:
MySQL, Oracle, HBase, Redis.
Visualization Tools:
Tableau, Grafana, Zeppelin.
Knowledge of machine learning models, AI tools (e.g., TensorFlow, H2O), and feature engineering is a plus.
Strong problem-solving skills with attention to detail and ability to manage multiple projects.
Excellent communication and collaboration skills in a fast-paced environment.

What We Offer:

Opportunity to work on innovative AI projects with a global impact.
Collaborative work culture with access to cutting-edge technologies.

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