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2 Weeks ago

Lead Data Engineer - ETL

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Chennai, Tamil Nadu, India
Information Technology
Full-Time
TeizoSoft Private Limited

Overview

Key Responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines using Python, Spark, and Airflow.
  • Implement ETL/ELT processes to ingest, transform, and load data from various sources into Snowflake.
  • Optimize data pipelines for performance, reliability, and maintainability.
  • Troubleshoot and resolve data pipeline issues and performance bottlenecks.
  • Design and implement data warehousing solutions using Snowflake.
  • Manage and optimize AWS cloud infrastructure for data engineering tasks.
  • Ensure data security and compliance with industry best practices.
  • Implement and manage data governance and data quality processes.
  • Lead and mentor a team of data engineers, providing technical guidance and support.
  • Foster a collaborative and high-performance team environment.
  • Conduct code reviews and ensure adherence to coding standards.
  • Participate in recruitment and onboarding processes.
  • Utilize DBT (Data Build Tool) for data transformation and modeling.
  • Develop and maintain data models for analytical and reporting purposes.
  • Ensure data consistency and accuracy across the data warehouse.
  • Write complex SQL queries for data extraction, transformation, and analysis.
  • Optimize SQL queries for performance and efficiency.
  • Design and implement database schemas and data structures.
  • Implement automation for data pipeline deployment and monitoring.
  • Utilize Airflow for workflow orchestration and scheduling.
  • Implement CI/CD pipelines for data engineering tasks.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.

- Communicate effectively with technical and non-technical stakeholders. -

- Document data pipelines, processes, and infrastructure. -

Mandatory Skill Set

  • Python : Advanced proficiency in Python for data engineering tasks.
  • Spark : Extensive experience with Apache Spark for large-scale data processing.
  • SQL : Strong SQL skills for data manipulation and analysis.
  • Snowflake : Proven experience in designing and implementing data warehousing solutions using Snowflake.
  • Airflow : Experience with Apache Airflow for workflow orchestration.
  • AWS : Hands-on experience with AWS cloud services related to data engineering.
  • DBT (Data Build Tool) : Experience with DBT for data transformation and modeling.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Experience With Other Cloud Platforms (GCP, Azure).

  • Knowledge of data governance and data quality best practices.
  • Experience with containerization (Docker, Kubernetes).
  • Experience with real time data streaming.
  • Experience with CI/CD tools.
  • Experience with data visualization tools.

Key Competencies

  • Strong problem-solving and analytical skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Strong leadership and mentorship abilities.
  • Ability to manage multiple projects and priorities.
  • Strong understanding of software development lifecycle.

(ref:hirist.tech)
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