
Chief Data Infrastructure Specialist
4 hours ago
We are seeking a skilled professional to design and develop large-scale data pipelines using modern big data technologies and cloud-native tools.
Key Responsibilities:- Design, build, and maintain scalable data infrastructure and pipelines in a cloud-based architecture.
- Develop efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.
- Work with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3.
- Implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.
- Develop pipelines using DBT and manage workflows with Apache Airflow or Step Functions.
- Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.
- Manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.
- Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.
- Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
- Ensure data quality, integrity, and consistency across systems.
- 5+ years of hands-on experience as a Data Engineer.
- Deep knowledge of Big Data technologies – Hadoop, Spark, Hive, Kafka.
- Expertise in Python, PySpark and/or Scala.
- Proficient with data modeling, SQL scripting, and working with large-scale datasets.
- Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).
- Hands-on with data orchestration tools like Apache Airflow or StepFunction.
- Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.
- Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake.
- Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus.
- Knowledge of Docker, Jenkins, and other CI/CD tools.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
- Experience with open table formats such as Apache Iceberg.
- Hands-on with AbInitio (GDE, Collect > IT) or Informatica tools.
- Self-driven, proactive, and a strong team player.
- Excellent communication and interpersonal skills.
- Passion for data and technology innovation.
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