Cloud Data Architect Lead

2 days ago


Chennai, Tamil Nadu, India HexaCorp Full time

About Senior Cloud Data Engineer

As a key member of our team at HexaCorp, you will play a pivotal role in designing and implementing robust data solutions for our clients. You will lead a team of data engineers to deliver high-quality data pipelines and data lakes, ensuring seamless integration with various data sources and business intelligence platforms.

Key Responsibilities

  • We are seeking an experienced cloud data engineer to design and implement scalable and efficient data architectures, including data warehouses, data lakes, and data marts.
  • You will be responsible for defining data models, schemas, and metadata standards.
  • Collaborate with data analysts and business stakeholders to understand data requirements and translate them into technical specifications.
  • You will design and develop complex data integration pipelines using ETL/ELT tools (e.g., Informatica, Talend, Azure Data Factory, AWS Glue, Google Data Fusion).
  • Extract, transform, and load data from various sources (e.g., databases, APIs, files) into target systems.
  • Implement data quality checks and monitoring processes to ensure data accuracy and consistency.
  • Leverage cloud platforms (Azure, AWS, GCP) to build and deploy data solutions.
  • You will utilize cloud-native data services (e.g., Azure Data Factory, AWS Glue, Google Data Fusion) for efficient data processing.
  • Lead and mentor a team of data engineers.
  • Assign tasks, provide guidance, and review deliverables.
  • Foster a collaborative and innovative team culture.
  • Interact with clients to understand their business needs and translate them into technical solutions.
  • Presents technical concepts to both technical and non-technical audiences.
  • Stay up-to-date with the latest trends and technologies in data engineering and cloud computing.
  • Continuously improve skills and knowledge through training and certifications.

Requirements

  • 9+ years of experience in data warehousing, data lakes, data integration, and ETL/ELT processes.
  • Strong proficiency in at least one leading ETL/ELT tool (e.g., Informatica, Talend, Azure Data Factory, AWS Glue, Google Data Fusion).
  • Experience with cloud platforms (Azure, AWS, GCP) and cloud-native data services.
  • Solid understanding of data modeling, data warehousing concepts, and data quality principles.
  • Proficiency in SQL and scripting languages (Python, Scala, etc.).
  • Experience with data visualization tools (Power BI, Tableau, Looker).
  • Strong problem-solving and analytical skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.

The estimated salary for this position is $175,000 - $225,000 per year, depending on location and experience.



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