Technical Project Lead for Data Engineering Projects

22 hours ago

Pune, Maharashtra, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 26,10,000

Job Opportunity: Technical Project Manager - Data Engineering

About the Role:

This position is for a seasoned technical project manager with expertise in data engineering. As a key member of our team, you will be responsible for leading the design, development, and implementation of robust and scalable data pipelines, data warehouses, and analytics platforms.

Key Responsibilities:
  • Project and Program Leadership: Plan and execute data engineering projects, including data platform migrations, new data source integrations, and real-time data streaming initiatives.
  • Technical Expertise: Possess a strong foundational knowledge of data engineering principles and architectures, contributing to technical discussions and decisions related to:
    • Data Modeling: Design and evaluate data models (e.g., star schema, snowflake schema) for optimized data warehouses and data marts.
    • ETL/ELT: Manage the development of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines using orchestrators like Apache Airflow or similar tools.
    • Data Storage: Understand and guide the use of various data storage solutions, including cloud-based data warehouses (Snowflake, Amazon Redshift, Google BigQuery), data lakes (Amazon S3, Azure Data Lake), and both SQL and NoSQL databases.
  • Agile and Methodologies: Facilitate all Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives; manage and track team velocity and capacity to ensure predictable and sustainable project delivery.
  • Financial and Vendor Management: Oversee project budgeting and resource allocation to ensure financial discipline; manage relationships and deliverables with multivendor teams and third-party vendors.
Requirements:
  • 4+ years of experience in a technical project management role, with a strong emphasis on data engineering or data-centric projects.
  • Stakeholder Management: Proven ability to manage expectations and communicate effectively with stakeholders at all levels, from technical teams to senior leadership.
  • Conflict Management: Skilled in identifying and resolving interpersonal or technical conflicts to maintain team morale and project momentum.
  • PM Tools: Proficiency with project management tools like Jira, Confluence, Asana, or Trello for managing backlogs, documentation, and reporting.
Preferred Skills:
  • Programming: Proficiency in at least one scripting language, with Python being highly preferred.
  • SQL: Expert-level knowledge of Structured Query Language (SQL) for querying, transforming, and managing large datasets.
  • Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure) and their data services.
  • Big Data: Familiarity with big data technologies like Apache Spark or Apache Hadoop.
  • Data Orchestration: Experience with workflow management tools like Apache Airflow, Prefect, or Dagster.

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