We are seeking a skilled Data Engineer to design and build scalable data platforms that power analytics, reporting, and business-critical insights. You will develop high-performance batch and streaming data pipelines, optimize ETL/ELT workflows, and manage large-scale analytical databases while ensuring data reliability and performance. This role requires strong expertise in SQL, distributed data processing, cloud technologies, and event-driven architectures, along with close collaboration with Product, Analytics, and Backend teams to deliver robust data solutions.

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. Design and build scalable batch and streaming data pipelines

Develop and optimize ETL/ELT workflows using distributed data processing frameworks

Design effective data models for reporting and dashboarding use cases

Build and maintain data ingestion pipelines from MongoDB, PostgreSQL, Kafka, APIs, and other data sources

Improve performance of large SQL workloads and analytical queries

Build reliable monitoring, health checks, and data anomaly detection systems





Work closely with Product, Analytics, and Backend teams to deliver reliable reporting and insights.

3+ years of experience in Data Engineering
Strong SQL skills with expertise in query optimization
Experience with ClickHouse or other OLAP databases (BigQuery, Redshift, Snowflake, Druid, Pinot, etc.)
Solid knowledge of PostgreSQL
Experience building ETL/ELT pipelines
Proficiency in Java or Python
Experience with Apache Kafka and event-driven architectures
Solid understanding of data modeling and partitioning strategies
Experience working on cloud platforms (AWS/GCP/Azure)
Experience with Docker and Kubernetes
Knowledge of monitoring and observability tools.

Experience with Looker or BI platforms

Experience with Apache Spark or Dataproc

Experience with Airflow or workflow orchestration tools

Experience with large-scale analytical systems processing billions of records.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

📌 Data Engineer Aws, Sql Noida (India)
🏢 ShyftLabs
📍 India