Senior Data Engineer
- Uplers
- 7 - 10 years
- Pune
- 4 months ago
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Job Description
Lead Data Engineer
Experience: 7 - 10 Years Exp
Salary : INR 20-30 Lacs per annum
Preferred Notice Period: 30 Days
Shift: 10:0 AM to 6:00 PM IST
Opportunity Type: Hybrid (Pune)
Placement Type: Permanent
(*Note: This is a requirement for one of Uplers' Clients)
Must have skills required :
Airflow AND Snowflake AND dbt
Inferenz (One of Uplers' Clients) is Looking for:
Lead Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.
Role Overview Description
We are seeking a Lead Data Engineer with deep expertise in Snowflake, dbt, and Apache Airflow to design, implement, and optimize scalable data solutions. This role involves working on complex datasets, building robust data pipelines, ensuring data quality, and collaborating closely with analytics and business teams to deliver actionable insights. If you are passionate about data architecture, ELT best practices, and modern cloud data stack, wed like to meet you.
Key Responsibilities:
- Pipeline Design & Orchestration: Build and maintain robust, scalable data pipelines using Apache Airflow, including incremental & full-load strategies, retries, and logging.
- Data Modelling & Transformation: Develop modular, tested, and documented transformations in dbt, ensuring scalability and maintainability.
- Snowflake Development: Design and maintain warehouse in Snowflake, optimize Snowflake schemas, implement performance tuning (clustering keys, warehouse scaling, materialized views), manage access control, and utilize streams & tasks for automation.
- Data Quality & Monitoring: Implement validation frameworks (null checks, type checks, threshold alerts) and automated testing for data integrity and reliability.
- Collaboration: Partner with analysts, data scientists, and business stakeholders to translate requirements into scalable technical solutions.
- Performance Optimization: Develop incremental and full-load strategies with continuous monitoring, retries, and logging and tune query performance and job execution efficiency.
- Infrastructure Automation: Use Terraform or similar IaC tools to provision and manage Snowflake, Airflow, and related environments.
- Partner with data analysts, scientists, and business stakeholders to translate reporting and analytics requirements into technical specifications.
Qualifications:
- Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or a related field.
- 710 years of experience in data engineering, with strong hands-on expertise in:
- Snowflake (data modelling, performance tuning, access control, streams & tasks, external tables)
- Apache Airflow (DAG design, task dependencies, dynamic tasks, error handling)
- dbt (modular SQL development, Jinja templating, testing, documentation)
- Proficiency in SQL and Python (Spark experience is a plus).
- Experience building and managing pipelines on AWS, GCP, or Azure.
- Strong understanding of data warehousing concepts and ELT best practices.
- Familiarity with version control (Git) and CI/CD workflows.
- Exposure to infrastructure-as-code tools like Terraform for provisioning Snowflake or Airflow environments.
- Excellent problem-solving, collaboration, and communication skills, with the ability to lead technical projects.
Good to have:
- Experience with streaming data pipelines (Kafka, Kinesis, Pub/Sub).
- Exposure to BI/analytics tools (Looker, Tableau, Power BI).
- Knowledge of data governance and security best practices.
How to apply for this opportunity:
Easy 3-Step Process:
1. Click On Apply! And Register or log in on our portal
2. Upload updated Resume & Complete the Screening Form
3. Increase your chances to get shortlisted & meet the client for the Interview!
About Our Client:
At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies.
About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
(Note: There are many more opportunities apart from this on the portal.)
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Pune
Keyskills: Airflow Snowflake Data Build Tool
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