Chief Data Architect

4 days ago

Pune, Maharashtra, India beBeeDataEngineer Full time ₹ 90,00,000 - ₹ 1,50,00,000
Job Title

We are seeking a skilled and innovative Data Engineer to join our dynamic team and contribute to our mission of harnessing the power of data to drive growth and success.

About the Role

In this exciting opportunity, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support customer experience and management initiatives. You will collaborate with cross-functional teams to understand business requirements, architect scalable data solutions, and ensure data quality and integrity.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and store data from various sources.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
  • Implement data models and schemas to support analytics, reporting, and machine learning initiatives.
  • Optimize data processing and storage solutions for performance, scalability, and cost-effectiveness.
  • Ensure data quality and integrity by implementing data validation, monitoring, and error handling mechanisms.
  • Collaborate with data analysts and data scientists to provide them with clean, reliable, and accessible data for analysis and modeling.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven 3+ years' experience as a data engineer or similar role.
  • Proficiency in SQL, Python, and/or other programming languages for data processing and manipulation.
  • Experience with relational and NoSQL databases (e.g., SQL Server, MySQL, Postgres, Cassandra, DynamoDB, MongoDB, Oracle), data warehousing (e.g., Vertica, Teradata, Oracle Exadata, SAP Hana), and data modeling concepts.
  • Familiarity with distributed computing frameworks (e.g., Apache Spark, Apache Flink, Apache Storm) and cloud-based data platforms (e.g., AWS Redshift, Azure, Google BigQuery, Snowflake)
  • Strong understanding of data and query optimization, query profiling, and query performance monitoring tools and techniques.
  • Solid understanding of ETL/ELT processes, data validation, and data security best practices.
  • Experience in version control systems (Git) and CI/CD pipelines.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.

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