Job summary
Job overview
The Data Engineer role at Aaratech Inc involves building scalable data pipelines and enabling analytics to support business decision-making.
Responsibilities and impact
The candidate will design and maintain ETL/ELT pipelines, optimize data models, collaborate with stakeholders, manage data quality and governance, work with cloud platforms, and troubleshoot data workflows.
Experience and skills
Requires 3-4 years of data engineering experience, strong SQL and Python skills, cloud platform experience (AWS, GCP, or Azure), familiarity with Airflow, dbt, Spark, or Kafka, and knowledge of data warehouses and ETL best practices; a bachelor's degree or equivalent is needed; CI/CD, data governance, and agile experience are preferred.
Work environment and culture
Aaratech values collaboration, continuous learning, and engineering excellence in a technology-driven consulting environment.
Company information
Aaratech Inc is a technology-driven consulting firm specializing in data solutions to empower smarter decision-making across industries.
Job location and travel
The position is based in the United States with flexible remote, hybrid, or on-site work options.
Company overview
AARATECH is a technology-driven company specializing in software development, IT consulting, and digital transformation services. They generate revenue by providing tailored solutions in areas like cloud computing, artificial intelligence, and enterprise software to businesses across various industries. Established with a focus on innovation, AARATECH has built a reputation for delivering cutting-edge technology solutions that enhance operational efficiency and drive growth for its clients. Candidates should note the company's emphasis on agility, customer-centric approaches, and its commitment to staying at the forefront of technological advancements.
How to land this job
Tailor your resume to highlight your 3-4 years of hands-on data engineering experience, emphasizing your expertise in building scalable ETL/ELT pipelines and optimizing data models for analytics as outlined by AARATECH's job description.
Focus on showcasing your proficiency in SQL, Python, and cloud platforms like AWS, GCP, or Azure, along with experience in tools such as Airflow, dbt, Spark, or Kafka, which are specifically mentioned as key skills.
Apply through multiple channels including AARATECH's official corporate website and LinkedIn to maximize your visibility and ensure your application is seen by multiple recruiters.
Connect with current employees in AARATECH’s data or engineering divisions on LinkedIn to learn more about the team and role; use ice breakers like commenting on recent company projects, expressing enthusiasm for their cloud data solutions, or asking about their experience with specific tools like Snowflake or Airflow.
Optimize your resume for ATS by incorporating exact keywords from the job description such as 'ETL/ELT pipelines,' 'data modeling,' 'SQL,' 'Python,' and the cloud platforms mentioned to improve your chances of passing automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate and streamline applying through multiple sites, tailor your resume effectively, and identify LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and other job search activities.
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