Senior Data Architect
3 weeks ago
Job Title: Lead Data Engineer
Job Summary:
Zorba Consulting India Pvt. Ltd. is seeking an experienced Lead Data Engineer to drive data-driven initiatives within our organization. The successful candidate will be responsible for designing, developing, and implementing scalable data solutions that support our business objectives.
Key Responsibilities:
- Develop and maintain robust data architectures and data models that align with business requirements and support data-driven decision-making.
- Design, build, and optimize data pipelines to efficiently extract, transform, and load (ETL) data from various sources into our data warehouse or data lake.
- Implement and manage data warehousing or data lake solutions to store, manage, and analyze large volumes of data.
- Ensure data quality and integrity by implementing data validation, cleansing, and governance processes.
- Develop and maintain data models that effectively represent the organization's data assets and support analytical needs.
- Collaborate with data analysts and scientists to provide data-driven insights and visualizations that support business decision-making.
- Evaluate and select appropriate data technologies and tools, such as databases, data pipelines, and data visualization platforms.
- Lead and mentor junior data engineers, providing guidance and support in their professional development.
- Effectively communicate with stakeholders, including business leaders, data scientists, and analysts, to understand their data needs and deliver solutions that meet their expectations.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- 5+ years of experience in data engineering roles.
- Strong proficiency in SQL and data modeling techniques.
- Experience with data warehousing and data lake solutions Snowflake, AWS Redshift, Azure Data Lake.
- Expertise in ETL/ELT tools and frameworks Informatica, Talend, Apache Airflow.
- Knowledge of data pipelines and data integration best practices.
- Experience with cloud platforms AWS, Azure, GCP and cloud-based data services.
- Familiarity with data quality and governance frameworks.
- Strong problem-solving and analytical skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
Preferred Skills:
- Experience with big data technologies Hadoop, Spark, Kafka.
- Knowledge of data science and machine learning concepts.
- Experience with data visualization tools Tableau, Power BI.
- Certification in data engineering or cloud platforms.
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