
Principal Data Engineer
24 hours ago
We are looking for a Data Engineering professional to join our team of experts.
About the role:
Key Responsibilities- Create and maintain scalable data pipelines for data ingestion, transformation, and storage.
- Work with Big Data ecosystems (Hadoop, Spark, Hive, etc.) to process structured and unstructured data.
- Develop efficient ETL processes to integrate data from multiple sources into data warehouses/lakes.
- Write and optimize SQL queries for data validation, transformation, and analytics.
- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable solutions.
- Implement data quality, governance, and security standards.
You will have the opportunity to work on high-impact projects with a talented team of professionals. You will be responsible for designing, developing, and maintaining complex data systems that meet the needs of our organization.
Required Skills & Qualifications- Proven experience in Big Data technologies (Hadoop, Spark, Hive, HDFS, Kafka, etc.).
- Strong expertise in SQL (query optimization, stored procedures, complex joins).
- Hands-on experience with ETL tools/processes (Informatica, Talend, Apache NiFi, Airflow, or custom ETL).
- Deep understanding of Data Warehousing concepts (star schema, snowflake schema, fact/dimension tables).
- Proficiency in programming languages like Python, Java, or Scala (for data manipulation).
- Experience with cloud platforms (AWS Redshift, GCP BigQuery, Azure Synapse, or Snowflake) is a plus.
- Strong problem-solving and debugging skills.
- Competitive salary and comprehensive benefits package.
- Free healthcare coverage.
- Flexible work environment with a supportive company culture.
- Continuous learning opportunities and professional growth.
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