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Data Engineer

CodersBrain

 

Bengaluru, Karnataka, India

Posted On: 30+ days ago
Experience: 9+ years
Availability: Onsite
Openings: 1
Category: Data Engineer
Tenure: Full-time Only
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Description

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

Education

Bachelor's degree

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