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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement scalable batch and streaming data pipelines using PySpark, Databricks, Delta Lake, and Apache Kafka.
Architect and optimize enterprise-scale data platforms and data ingestion/transformation processes aligned with business needs.
Drive data quality, observability, governance, and operational reliability across data engineering solutions, including mentoring team members.
Minimum Requirements
Mandatory technical skills: Python, PySpark, Databricks Workflows, Delta Lake on Databricks, Apache Kafka.
Experience designing and implementing data engineering solutions involving batch and streaming data pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Noida, UP, India.
Ideal Candidate Profile
Experienced data engineer with expertise in distributed data processing frameworks and modern Lakehouse architecture principles.
Skilled in operationalizing data pipelines with strong ownership mindset and quality-driven engineering practices.
Capable of collaborating across teams and mentoring others on PySpark, Snowflake, Delta Lake, Kafka, Kinesis, Airflow, and related best practices.