Job Description
Qualifications
7–10 years of total experience, with 3+ years hands-on in data engineering.
Strong programming skills in Scala, Java, and Apache Spark.
Proficient in SQL and experienced with both relational and distributed data systems.
Experience working with AWS, GCP, or Azure data platforms.
Exposure to Hive, Airflow, Iceberg, Collibra, Power BI, or Qubole.
Strong understanding of testing, monitoring, and CI/CD practices.
Excellent analytical, communication, and problem-solving skills.
Preferred Skills
Experience in agile environments and distributed teams.
Familiarity with lakehouse architectures and ML data pipelines.
Passion for data-driven innovation and delivering measurable business impact.
7–10 years of total experience, with 3+ years hands-on in data engineering.
Strong programming skills in Scala, Java, and Apache Spark.
Proficient in SQL and experienced with both relational and distributed data systems.
Experience working with AWS, GCP, or Azure data platforms.
Exposure to Hive, Airflow, Iceberg, Collibra, Power BI, or Qubole.
Strong understanding of testing, monitoring, and CI/CD practices.
Excellent analytical, communication, and problem-solving skills.
Preferred Skills
Experience in agile environments and distributed teams.
Familiarity with lakehouse architectures and ML data pipelines.
Passion for data-driven innovation and delivering measurable business impact.
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