
Senior Data Pipeline Specialist
2 days ago
Big Data Architect
Role Description:
- As a senior data engineer, you will lead the design, development and deployment of scalable data pipelines using Apache Spark.
- Developing robust data processing workflows in PySpark is essential for delivering insights to our stakeholders.
- You will collaborate with cross-functional teams to ensure alignment on data requirements and deliver high-quality solutions.
- Designing and implementing data ingestion, transformation and integration solutions is crucial for unlocking business value from our data assets.
- Optimizing Spark jobs for performance and cost efficiency is key to delivering results efficiently.
- Leading a team of engineers ensures best practices are adopted across the board.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science Engineering or a related field.
- 10+ years of professional experience in data engineering.
- Strong hands-on programming experience in Scala and Python is essential.
- Extensive experience with Apache Spark, including Spark SQL, Spark Streaming, and optimization techniques.
- Proficiency in PySpark for data processing tasks is required.
- Experience working with cloud-based platforms such as Databricks.
- Solid understanding of distributed computing, big data architectures, and data modeling is necessary.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with data storage technologies like HDFS, S3, Delta Lake, and relational/non-relational databases.
- Strong leadership skills with experience leading and mentoring teams.
- Excellent problem-solving, communication, and collaboration skills.
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