2 - 4 years
2 - 6 Lacs
Posted:6 days ago|
Platform:
Work from Office
Full Time
- Design and implement data pipelines to extract, transform, and load data from various sources into a centralized data warehouse or data lake
- Collaborate with data analysts and business stakeholders to understand data requirements and create efficient data models
- Optimize data pipelines for performance, scalability, and reliability using tools like Apache Airflow, Kafka, or AWS Glue
- Ensure data quality, consistency, and security throughout the data lifecycle
- Develop and maintain data documentation, including data dictionaries, metadata, and data lineage
- Provide technical support and troubleshooting for data-related issues in Looker Studio and Power BI reports
- Stay up-to-date with the latest data engineering technologies and best practices
- 5+ years of experience in data engineering or a related field
- Strong proficiency in SQL and at least one programming language (Python, Scala, Java, etc.)
- Hands-on experience with data warehousing technologies like Snowflake, BigQuery, or Redshift- Familiarity with data streaming and batch processing frameworks like Apache Kafka, Spark, or Flink
- Knowledge of cloud computing platforms (AWS, Azure, or GCP) and their data engineering services
- Experience with data orchestration tools like Apache Airflow, Luigi, or Prefect
- Understanding of data modeling techniques and best practices for dimensional modeling or data vault
- Familiarity with Looker Studio and Power BI is a plus
- Strong problem-solving skills and the ability to work collaboratively in a team environment
Forward Eye Technologies
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