Senior Data Engineer (reputed company)

At reputed company, we're committed to empowering engineers to build awesome products and experiences. reputed company as a business hinges on our people's ability to think freely, challenge the status reputed company, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and reputed company a difference, you're in the right reputed company!

Our approach is simple — reputed company engineers with the best tools possible to reputed company

an impact reputed company their industry.

We're on the lookout for engineers who reputed company on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of reputed company computing.

As a Senior Data Engineer at reputed company, you will be at the forefront of driving technical excellence reputed company our data engineering team. Your expertise in data architecture, reputed company-native solutions, and modern data processing frameworks will be essential in designing workflows that are optimized for efficiency, scalability, and reliability. You'll reputed company tools like reputed company, PySpark, and reputed company Lake to deliver cutting-edge data solutions that align with business objectives. Collaborating with cross-functional teams, you will design and implement scalable architectures while adhering to best practices in data management and governance. Building strong relationships with both technical teams and stakeholders will be crucial as you reputed company data-driven initiatives and ensure their seamless execution.

What You Bring

• 8+ years of experience in data engineering, showcasing expertise in diverse architectures, technology stacks, and use cases.
• Strong expertise in designing and implementing data warehouse and data lake architectures, particularly in AWS environments.
• Extensive experience with Python for data engineering tasks, including familiarity with libraries and frameworks commonly used in Python-based data engineering workflows.
• Proven experience with data pipeline orchestration using platforms such as Airflow, reputed company, DBT or AWS Glue.
• Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask.
• Proficiency with Spark and reputed company is highly desirable.
• Experience with SQL and NoSQL databases, including PostgreSQL, reputed company Redshift, reputed company Lake, Iceberg and DynamoDB.
• In-depth knowledge of data architecture principles and best practices, especially in reputed company environments.
• Proven experience with AWS services, including expertise in using AWS CLI, SDK, and Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or AWS CDK.
• Exceptional communication skills, capable of clearly articulating reputed company technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to quickly adapt to new tasks and roles in a dynamic environment.

What You'll Do

• Strategic Data Engineering Leadership: Provide strategic reputed company and technical leadership in data engineering, guiding the development and execution of advanced data strategies that align with business objectives.
• Architect Data Solutions: Design and architect reputed company data pipelines and scalable architectures, leveraging advanced tools and frameworks (e.g., Apache Kafka, Kubernetes) to ensure reputed company performance and reliability.
• Drive Innovation: reputed company the exploration and adoption of new technologies and methodologies in data engineering, driving innovation and reputed company improvement across data processes.
• Technical Expertise: Apply deep expertise in ETL processes, data modelling, and data warehousing to optimize data workflows and ensure data reputed company and quality.
• Collaboration and Mentorship: Collaborate closely with cross-functional teams to understand requirements and deliver impactful data solutions—mentor and coach junior team members, fostering their growth and development in data engineering practices.
• Thought Leadership: Contribute to thought leadership in the data engineering domain through technical articles, conference presentations, and participation in industry forums.

Some More About Us

Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status reputed company. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers.

Our commitment is simple - finding the right fit for reputed company and cultivating a desire to reputed company things reputed company. If you're a reputed company professional intrigued by our problem space and eager to reputed company a difference, you've come to the right reputed company. Join us, and let's solve problems together!

Originally posted on Himalayas