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Senior Data Engineer

Senior Data Engineer

Appsierra

6 years

0 Lacs

uttar pradesh

Posted:6 hours ago| Platform: GlassDoor logo

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Skills Required

data engineering processing spark kafka aws airflow databricks analytics workflow management rest graphql sftp communication leadership relational nosql mongodb governance security programming python automation scripting software testing javascript typescript visualization service blockchain technology stack postgresql redis node.js react pipeline orchestration slack messaging

Work Mode

On-site

Job Type

Part Time

Job Description

Data Engineering and Infrastructure: 6+ years of experience in a Data Engineering role, designing, building, and managing
scalable and reliable data systems.

Proficient with big data and stream-processing technologies such as Spark and Kafka.
Hands-on experience with cloud platforms, particularly AWS services like EC2 and RDS.
Skilled in building and orchestrating data pipelines using tools like Airflow.
Experience with Databricks for scalable data processing and advanced analytics.
Strong knowledge of SQLMesh for modern data workflow management.
Extensive experience integrating and working with external data sources via REST APIs,

GraphQL endpoints, and SFTP servers.

Strong communication skills and leadership capabilities are required.

Databases and Data Management: Expertise with relational and NoSQL databases, including Postgres and MongoDB.

Solid understanding of data modeling, data governance, and data security best

practices.
Programming and Development: Proficient in Python for data engineering, automation, and workflow scripting.

Familiarity with software engineering best practices, including version control, testing,

and CI/CD pipelines for data workflows.

Experience with JavaScript and TypeScript is a plus.

Analytics, Visualization, and BI: Skilled in implementing and supporting self-service BI tools to enable business teams
with accessible, actionable insights.

Experience with Streamlit for building interactive data visualizations is a plus.

Blockchain and Financial Data Expertise: Knowledge of blockchain technology and the cryptocurrency ecosystem is a nice-to-
have, with a strong interest in staying up to date with emerging trends.

Experience working with financial datasets and financial engineering concepts is

considered a strong advantage.
Our Stack We work with a modern and evolving technology stack, including but not limited to:

Cloud Infrastructure: AWS for cloud services and infrastructure management
Databases: PostgreSQL for relational data, MongoDB for non-relational (NoSQL) data,

and Redis for caching and real-time data management

Backend: NestJS (Node.js, TypeScript) and Python for building scalable backend

services

Frontend: React for web applications, Streamlit for building interactive data

visualizations

Data Engineering: Airflow and SQLMesh for data pipeline orchestration and modern

workflow management

Big Data & Processing: Databricks and Kafka for scalable data processing, analytics,

and streaming

Integrations & APIs: Extensive use of REST APIs, GraphQL, SFTP, and Slack

integrations to enable seamless data exchange and operational workflows

Messaging & Event Streaming: Kafka for real-time data pipelines and event-driven

architectures

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Senior Data Engineer