FULLTIME
Senior Data Engineer
AppSierra Solutions
Not specified · onsite · Posted 52d ago
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Not disclosed6–8 yrsfulltimeNot specified
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Section · 01
About this role
Key Responsibilities
We work with a modern and evolving technology stack, including but not limited to:
- Design, build, and maintain robust and scalable data pipeline architectures.
- Assemble large, complex datasets that meet both functional and non-functional business requirements.
- Identify, design, and implement internal process improvements — including automation of manual workflows, optimization of data delivery, and re-architecting infrastructure for greater scalability and reliability.
- Design, build, and optimize ETL infrastructure to enable scalable, high-quality data workflows across diverse sources, leveraging SQL and modern data processing frameworks.
- Build analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Collaborate with stakeholders across Executive, Product, Data, and Design teams to resolve data-related technical issues and ensure their data infrastructure needs are met.
- Ensure data integrity, separation, and security across multiple data centers and AWS regions.
- Create data tools and frameworks to empower analytics and data science teams in building and optimizing products that drive innovation and establish market leadership.
- Lead and mentor a small team of data engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
- Provide technical guidance, set coding standards, conduct code reviews, and support career development for team members.
- Work closely with data and analytics experts to continually enhance the functionality, reliability, and scalability of our data systems.
- 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.
- Expertise with relational and NoSQL databases, including Postgres and MongoDB.
- Solid understanding of data modeling, data governance, and data security best practices.
- 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.
- 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.
- 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.
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
Sourced from foundit
Section · 02
Skills
PostgresqlApache SparkStreamlitApache Kafkaamazon web servicesapache airflowSQLMeshDatabricksPythonJavascriptMongoDBTypescriptSQL
Section · Company
About Appsierra
AppSierra Solutions
IT Services & Consulting
150
employees
2015
11 years old
Noida, Uttar Pradesh
IN
₹4.7L PA avg
Avg at Appsierra
About
Appsierra is best software testing company in USA, India & UK.They are CMMI level 3 certified testing company offering complete software testing services for mobile, web & api at effective price.
Industries
IT Services & ConsultingSoftware Product
Employee ratings
10 reviews
4.3/ 5
Culture
4.5
Career growth
4.6
Work-life
4.4
Employees rate it well for
Overall Company43Company Culture42
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