Senior Data Infrastructure Specialist

3 days ago

Kolkata, West Bengal, India beBeeDataInfrastructure Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

Job Description:

We are seeking an experienced and skilled Senior Data Infrastructure Specialist to join our team. This individual will play a critical role in designing, implementing, and maintaining our data infrastructure to support customer experience and management initiatives.

The ideal candidate will have a strong understanding of distributed computing frameworks and cloud-based data platforms. They will collaborate with cross-functional teams to understand business requirements, architect scalable data solutions, and ensure data quality and integrity.

This is an exciting opportunity for the right individual to work with cutting-edge technologies and shape the future of data-driven decision-making at our organization.

Responsibilities:

  • Design and develop 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.
  • Stay current with emerging technologies and best practices in data engineering and recommend innovative solutions to enhance our data capabilities.

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.
  • Strong understanding of distributed computing frameworks (e.g., Apache Spark, Apache Flink, Apache Storm) and cloud-based data platforms (e.g., AWS Redshift, Azure, Google BigQuery, Snowflake)
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker, Apache Superset) and data pipeline tools (e.g., Airflow, Kafka, Data Flow, Cloud Data Fusion, Airbyte, Informatica, Talend) is a plus.
  • 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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