Regular Data Engineer

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Bengaluru, India

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BigData Development

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BCM Industry

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05/09/2025

Req. VR-116853

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Project description

Our client is a leading global Financial markets data provider runs a number of change programs to deliver of high-quality software that connects
Financial Markets across the globe in a real-time, high frequency and low-latency data management chain.
 The projects are technically challenging in a very engaging environment making the most of cutting-edge technologies.

Responsibilities
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Design, build, and maintain scalable ETL/ELT data pipelines to support analytics, reporting, and machine learning use cases.

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Develop and optimize data models and warehouse structures in Snowflake to ensure high performance and reliability.

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Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver clean, reliable, and accessible datasets.

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Implement and manage data orchestration workflows (e.g., Airflow, AWS Step Functions) to ensure timely and accurate data delivery.

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Apply best practices in data governance, quality, and security across all pipelines and storage layers.

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Monitor, troubleshoot, and optimize data processes for performance, scalability, and cost efficiency.

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Leverage AWS cloud services to design resilient, scalable, and secure data architectures.

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Use Python and SQL for advanced data transformations, automation, and performance optimization.

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Document data pipelines, models, and workflows to ensure maintainability and transparency.

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Contribute to the continuous improvement of the data engineering platform, adopting new tools, frameworks, and processes."

Skills

Must have

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Strong proficiency in Python for ETL/ELT development and data pipeline automation.

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Hands-on experience with AWS services (S3, Glue, Lambda, EMR, RDS) for building and managing scalable data solutions.

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Expertise in Snowflake for cloud data warehousing, performance tuning, and large-scale data management.

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Advanced SQL skills for data modeling, transformations, and query optimization.

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Practical experience with dbt for modular, version-controlled data transformations and modeling."

Nice to have

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Experience with data orchestration tools (Airflow, Prefect, AWS Step Functions).

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Familiarity with big data frameworks (Apache Spark, Kafka, Kinesis).

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Knowledge of CI/CD pipelines and version control (GitHub/GitLab, Jenkins).

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Understanding of data modeling techniques (star/snowflake schemas, data lakehouse).

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Exposure to monitoring & observability tools (CloudWatch, Datadog, Prometheus).

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Awareness of containerization and deployment (Docker, Kubernetes).

Other
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Languages

English: B2 Upper Intermediate

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Seniority

Regular

Bengaluru, India

Req. VR-116853

BigData Development

BCM Industry

05/09/2025

Req. VR-116853

Apply for Regular Data Engineer in Bengaluru

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