Chief Data Architect

2 days ago

Hyderabad Secunderabad Telangana Chennai Bengaluru Bangalore, India beBeeDataEngineer Full time US$ 1,50,000 - US$ 2,00,000
Job Title

The Senior Data Engineer is responsible for leading the design, development and optimization of data infrastructure and systems to meet complex business needs.

This individual plays a strategic role in developing and managing large-scale data pipelines, ensuring scalability, reliability and performance. As a key technical expert, they collaborate with cross-functional teams to deliver innovative data solutions and ensure adherence to best practices in data management and governance.

Key Responsibilities:
  • Lead the design and development of advanced data pipelines, ensuring seamless ETL/ELT of data into enterprise storage systems.
  • Oversee data integration from diverse sources, maintaining data consistency, integrity and compliance with enterprise standards.
  • Transform raw data into usable formats through cleansing, aggregation, filtering and enrichment techniques.
  • Optimize data pipelines and workflows for scalability, performance and cost efficiency.
  • Establish robust data validation, quality checks and error-handling mechanisms to ensure enterprise data integrity.
  • Mentor junior data engineers, promoting technical growth and team development.
  • Implement and enforce best practices in data governance, including metadata management and lineage tracking.
  • Drive the adoption of real-time data streaming and processing workflows to enable advanced analytics and decision-making.
  • Partner with stakeholders to identify and address complex data challenges, delivering scalable and innovative solutions.
  • Stay updated with emerging data technologies, evaluating their potential to enhance enterprise capabilities.

Required Skills and Qualifications

Education: A bachelor's degree in computer science, data science, software engineering, information systems or related quantitative field; master's degree preferred.

Experience: 8+ years of data engineering experience, including expertise in data integration, pipeline optimization and enterprise-scale data solutions.

Skills: Advanced proficiency in Apache technologies (Kafka, Airflow, Spark) and programming languages (Python, Java, Scala); expertise in data query tools (SQL, Hive) and database technologies (NoSQL, Hadoop, Teradata); strong knowledge of cloud platforms (AWS, Azure, GCP) and modern data architectures.

Benefits

Excellent compensation package

Opportunities for professional growth and development

Collaborative and dynamic work environment

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