Posted:22 hours ago|
Platform:
Hybrid
Full Time
Qualifications: • Bachelors or masters degree in computer science, Engineering, or a related field. • Proven experience (8+) in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses. • Strong proficiency in SQL, Python and Spark programming languages. • Strong experience with cloud platforms such as AWS, Azure, or GCP is a must. • Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks. • Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow etc. • Experience in implementing CI/CD pipelines for automating build, test, and deployment processes. • Solid understanding of data modeling concepts, data warehousing architectures, and data management best practices. • Excellent communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and drive consensus on technical decisions. • Relevant certifications (e.g., Azure, Databricks, Snowflake) would be a plus.
Apex Systems
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