Chief Data Architecture Specialist

2 days ago

Hyderabad, Telangana, India beBeeData Full time ₹ 2,20,10,000 - ₹ 2,61,40,000
Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to lead the design, development, and maintenance of large-scale data solutions. This role offers an exciting opportunity to work on complex data pipelines, enabling data-driven decision-making and operational excellence.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines and ETL processes.
  • Develop and optimize data models and data warehouse architectures.
  • Implement and manage big data technologies and cloud-based data solutions.
  • Perform data migration, data transformation, and integration from multiple sources.
  • Collaborate with data scientists, analysts, and business teams to understand data needs and deliver solutions.
  • Ensure data quality, consistency, and security across all data pipelines and storage systems.
  • Optimize performance and manage cost-efficient AWS cloud resources.
Basic Qualifications
  • Master's degree in Computer Science, Engineering, Analytics, Mathematics, Statistics, IT, or equivalent.
  • 5+ years of experience in Data Engineering and data migration projects.
  • Proficient in SQL and Python for data processing and analysis.
  • Strong experience in data modeling, data warehousing, and building data pipelines.
  • Hands-on experience with big data technologies like Hadoop, Spark, etc.
  • Expertise in AWS services including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
  • Understanding of ETL development best practices and principles.
Preferred Qualifications
  • Knowledge of data security and data privacy best practices.
  • Experience with DevOps and CI/CD practices related to data workflows.
  • Familiarity with data lake architectures and real-time data streaming.
  • Strong problem-solving abilities and attention to detail.
  • Excellent verbal and written communication skills.
  • Ability to work independently and in a team-oriented environment.
Good to Have
  • Experience with orchestration tools like Airflow or Step Functions.
  • Exposure to BI/Visualization tools like QuickSight, Tableau, or Power BI.
  • Understanding of data governance and compliance standards.

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