Data Engineer
4 weeks ago
Job Title : Senior Data Engineer.
Employment Type : Full-Time.
Experience Required : 5+ Years.
About Us :
At Techiebutler, we pride ourselves on creating impactful data solutions that power innovative businesses. We are searching for a highly-skilled Senior Data Engineer who thrives in a collaborative environment and brings expertise from working in dynamic, high-performing organizations.
This role offers a chance to work on cutting-edge technologies, shape the future of our data systems, and be part of a team that values innovation, integrity, and excellence.
The Role :
As a Senior Data Engineer at Techiebutler, you will design and implement secure, scalable, and industry-leading data architectures. Partnering with data science, business analytics, and product teams, you will develop robust solutions aligned with the highest industry standards.
This is a unique opportunity to lead impactful projects and contribute to building a world-class data infrastructure.
Our Tech Stack : We leverage modern tools and platforms to stay ahead of the curve :
- Languages : SQL, Python.
- Pipeline Orchestration : Dagster (Legacy : Airflow).
- Data Stores : Snowflake, Clickhouse.
- Platforms & Services : Docker, Kubernetes.
- PaaS : AWS (ECS/EKS, DMS, Kinesis, Glue, Athena, S3).
- ETL : FiveTran, DBT.
- IaC : Terraform (with Terragrunt).
Key Responsibilities :
- Design, build, and optimize scalable ETL pipelines using SQL and Python.
- Implement and manage data pipeline orchestration using Dagster or Airflow.
- Collaborate with business and product teams to provide seamless data solutions and enable self-service analytics.
- Drive stream, batch, and CDC processes for seamless data flow.
- Lead data transformation and modeling using DBT to meet organizational objectives.
- Monitor, troubleshoot, and enhance data quality and reliability.
- Ensure strict compliance with security, privacy, and industry regulations.
What We're Looking For :
- We value individuals with exceptional backgrounds and proven success : .
Essential Experience :
- 5+ years in data engineering, with demonstrated expertise in SQL and Python.
- Hands-on experience with cloud data warehousing (i.e., Snowflake, BigQuery, Redshift).
- Strong knowledge of ETL/ELT processes and batch/streaming data pipelines.
- Proficiency with AWS services (S3, DMS, Glue, Athena).
- Proven ability to resolve data inconsistencies and optimize pipelines.
Desired Experience :
- Advanced knowledge of AWS services (ECS, EKS, EC2, IAM).
- Hands-on experience with Terraform and Terragrunt for Infrastructure as Code (IaC).
- Familiarity with orchestration tools (Dagster, Airflow, AWS Step Functions).
- Expertise in pub-sub and streaming technologies (Kinesis, Kafka, SQS, SNS).
- Experience building CI/CD pipelines for automated data solutions.
Why Join Us :
- Work alongside industry leaders and collaborate with a team of top professionals.
- Access to cutting-edge tools and technologies to drive innovation.
- A supportive environment that fosters growth, creativity, and impact.
- Competitive compensation with abundant opportunities for professional advancement.
Application Process :
- We're looking for individuals who bring passion, expertise, and a track record of success. Join us and play a pivotal role in shaping the future of data engineering at Techiebutler.
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