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Bengaluru, Karnataka, India
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Key Responsibilities
Design and implement real-time (Kafka, Spark/Flink) and
batch (Airflow, Spark) pipelines for high-throughput data ingestion, processing, and transformation.
Develop data models and manage data lakes and warehouses (Delta Lake, Iceberg, etc) to support both analytical and ML workloads.
Integrate data from diverse sources: IoT sensors, databases (SQL/NoSQL), REST APIs, and flat files.
Ensure pipeline scalability, observability, and
data quality through monitoring, alerting, validation, and lineage tracking.
Collaborate with AI/ML teams to provision clean and ML-ready datasets for training and inference.
Deploy, optimize, and manage pipelines and data infrastructure across
on-premise and hybrid environments.
Participate in architectural decisions to ensure
resilient, cost-effective, and secure data flows.
Contribute to infrastructure-as-code and automation for data deployment using Terraform, Ansible, or similar tools.
Qualifications & Required Skills
Bachelor’s or Master’s in Computer Science, Engineering, or related field.
6+ years in data engineering roles, with at least 2 years handling real-time or streaming pipelines.
Strong programming skills in Python/Java and
SQL.
Experience with Apache Kafka,
Apache Spark, or Apache Flink for real-time and batch processing.
Hands-on with Airflow,
dbt, or other orchestration tools.
Familiarity with data modeling (OLAP/OLTP), schema evolution, and format handling (Parquet, Avro, ORC).
Experience with hybrid/on-prem and cloud platforms (AWS/GCP/Azure) deployments.
Proficient in working with data lakes/warehouses like Snowflake, BigQuery, Redshift, or Delta Lake.
Knowledge of DevOps practices, Docker/Kubernetes, Terraform or Ansible.
Exposure to data observability, data cataloging, and quality tools (e.g., Great Expectations, OpenMetadata).
Good-to-Have
Experience with time-series databases (e.g., InfluxDB, TimescaleDB) and sensor data.
Prior experience in domains such as aviation, manufacturing, or logistics is a plus
Bachelor's degree
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