Senior Data Engineer
4 weeks ago
As a key member of our Data Science team, you will play a critical role in enriching and maintaining the central repository of datasets, which is leveraged for advanced data analytics and machine learning techniques to extract actionable insights from financial and market data.
You will work closely with cross-functional teams to develop and implement robust data pipelines that automate the updation of data in our cloud-based repository, increasing data accessibility for the entire organization.
Key Responsibilities- Design, develop, and maintain efficient ETL processes for multi-scale data sets.
- Implement and optimize data transformation and validation processes to ensure data accuracy and consistency.
- Collaborate with cross-functional teams to understand data requirements and business logic.
Architect, build and maintain scalable and high-performance data pipelines that meet the needs of the organization. Evaluate and implement new technologies to enhance data pipeline efficiency and reliability.
Pipelines for extracting data through scraping for ad-hoc sector specific datasets are also required.
Data ModellingDevelop and implement data models to support analytics and reporting needs.
Optimize database structures for performance and scalability.
Data Quality and GovernanceImplement data quality checks and governance processes to ensure data integrity.
Collaborate with stakeholders to define and enforce data quality standards.
Documentation and CommunicationDocument ETL processes, data models, and other relevant information.
Communicate complex technical concepts to non-technical stakeholders effectively.
Requirements- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer with expertise in ETL techniques (2+ years).
- Strong programming skills in languages such as Python, Java, or Scala.
- Skillset to scrape and transform data off of the publicly available web sources.
- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
- Proficiency in SQL and experience working with relational and non-relational databases.
- Knowledge of data warehousing concepts and architectures.
- Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
- Experience with data modeling tools and techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
The estimated salary for this position is ₹1,200,000 per annum, considering the location in Bangalore and the required skills and qualifications.
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