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Senior Data Engineer

Senior Data Engineer

Shuru

5 years

0 Lacs

india

Posted:7 hours ago| Platform:

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Skills Required

data technology ai leadership mobile collaborative creativity engineering design power analytics learning reliability accessibility normalization etl support processing monitoring integrity pipeline flow aws gcp code terraform security compliance optimization kafka development maintenance python sql programming java scala redshift dataflow apache spark nosql mongodb containerization docker

Work Mode

Remote

Job Type

Full Time

Job Description

This is a remote position.

Shuru is a self-managed technology team specializing in accelerating visions through product, technology, and AI leadership. With a focus on bespoke execution, we deliver impactful solutions that are scalable and designed for success. At Shuru, we deliver mobile solutions that meet and exceed customer expectations. Our collaborative and fast-paced environment encourages creativity and innovation.

We are seeking a highly skilled Senior Data Engineer to join our engineering team. This role requires a hands-on professional who will design, build, and maintain robustdata pipelines that power our product, analytics and machine learning initiatives. You'll work closely with cross-functional teams to ensure data quality, reliability, and accessibility across our platform.

Responsibilities:

Design and implement scalable data pipelines for ingestion, validation, cleanup, and normalization
Build and maintain ETL/ELT processes to support both batch and real-time data processing
Develop data quality frameworks and monitoring systems to ensure data integrity
Optimize pipeline performance and troubleshoot data flow issues
Deploy and manage data infrastructure on AWS and GCP platforms
Implement Infrastructure as Code (IaC) using Terraform for reproducible
deployments
Design and maintain data lakes, data warehouses, and streaming architectures
Ensure security, compliance, and cost optimization across cloud resources
Implement event-driven architectures using technologies like Kafka, Kinesis, or Pub/Sub

Requirements

Technical Skills

5+ years of experience in data engineering or related field Hands-on experience with data pipeline development and maintenance Strong proficiency in Python, SQL, and at least one other programming language (Java, Scala, Go) Extensive experience with AWS services (S3, Redshift, EMR, Kinesis, Lambda, Glue) Solid experience with GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage) Proven experience with Infrastructure as Code using Terraform Strong background in streaming technologies (Apache Kafka, Amazon Kinesis, Google Pub/Sub) Data Technologies

Experience with data processing frameworks (Apache Spark, Apache Beam, Airflow)
Proficiency with data warehousing solutions (Redshift, BigQuery, Snowflake)
Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB)
Familiarity with containerization (Docker, Kubernetes)
Experience with monitoring and observability tools (CloudWatch, Stackdriver, Datadog)

Benefits

Benefits:

Competitive salary and benefits package.
Opportunity to work with a team of experienced product and tech leaders.
A flexible work environment with remote working options.
Continuous learning and development opportunities.
Chance to make a significant impact on diverse and innovative projects

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Senior Data Engineer