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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior title reduces volume but popular Data Engineer role and Gurgaon metro draw moderate candidate density.
Requires deep data engineering and cloud experience, moderately transferable across industries with similar data stacks.
Explicit 8+ years plus specific cloud, streaming, and lakehouse tech requirements drive strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, own, and optimize robust, scalable data pipelines (batch and real-time) with a focus on performance and maintainability.
Design and implement Data Lake, Data Warehouse, and Lakehouse architectures ensuring data quality, integrity, and governance throughout the data lifecycle.
Collaborate with cross-functional teams to translate business requirements into technical solutions and mentor junior data engineering team members.
Minimum Requirements
8+ years of experience as a Data Engineer with strong expertise in designing and building data pipelines.
Bachelor's degree in Computer Science, Information Systems, or a related field; Master's degree is a plus.
Proficiency in AWS Data Services (S3, Glue, Athena, EMR, Kinesis), SQL, Apache Parquet, Delta Lake, Apache Iceberg or Hudi, and CDC patterns.
Experience with stream processing frameworks (Apache Flink, Kafka Streams, pySpark) and workflow orchestration tools like Apache Airflow.
Ideal Candidate Profile
Senior-level data engineer accustomed to handling complex, scalable data architectures in cloud environments focusing on AWS tooling.
Experienced mentor capable of guiding junior team members and promoting best practices in data engineering.
Strong collaborator who can translate business needs into technical solutions and drive data governance and quality across the organization.