SENIOR SOFTWARE ENGINEER - AWS Data Lake
Happiest Minds Technologies
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Job Description
Join our team as a Data Engineer and contribute to our mission of leveraging data to drive meaningful insights and deliver innovative solutions for our clients.
What will you do?
- Design, develop and own robust data pipelines, ensuring optimal performance, scalability, and maintainability.
- Design and implement Data Lake, Dare Warehouse and Lakehouse solutions with different architecture patterns.
- Ensure data quality, integrity and governance across all stages of data lifecycle.
- Monitor and optimize performance of data engineering pipelines.
- Contribute to design principles, best practices, and documentation.
- Collaborate closely with cross-functional teams to deeply understand business requirements, translating them into effective technical design, implementations that support the organization's data-driven initiatives.
- Provide mentorship and guidance to other team members of the data engineering team, promoting knowledge transfer, a culture of continuous learning and skills development.
- Bachelor's degree in computer science, Information Systems, or a related field. Master's degree is a plus.
- A seasoned Data Engineer with a minimum of 5-8 years of experience.
- Deep experience in designing and building robust, scalable data pipelines ? both batch and real-time using modern data engineering tools and frameworks.
- Proficiency in AWS Data Services (S3, Glue, Athena, EMR, Kinesis etc.).
- Strong grip on SQL queries, various file formats like Apache Parquet, Delta Lake, Apache Iceberg or Hudi and CDC patterns.
- Experience in stream processing frameworks like Apache Flink or Kafka Streams or any other distributed data processing frameworks like pySpark.
- Expertise in workflow orchestration using Apache Airflow.
- Strong analytical and problem-solving skills, with the ability to work independently in a fast-paced environment.
- In-depth knowledge of database systems (both relational and NoSQL) and experience with data warehousing concepts.
- Hands-on experience with data integration tools and a strong familiarity with cloud-based data warehousing and processing is highly desirable.
- Excellent communication and interpersonal skills, facilitating effective collaboration with both technical and non-technical stakeholders.
AWS Data Lake, SQL, PySpark
About The Company
Happiest Minds Technologies
Happiest Minds Technologies Limited (NSE: HAPPSTMNDS), a Mindful IT Company, enables digital transformation for enterprises and technology providers by delivering seamless customer experiences, business efficiency and actionable insights. We do this by leveraging a spectrum of disruptive technologies such as: artificial intelligence, blockchain, cloud, digital process automation, internet of things, robotics/drones, security, virtual/augmented reality, etc. Positioned as ‘Born Digital . Born Agile’, our capabilities span digital solutions, infrastructure, product engineering and security. We deliver these services across industry sectors such as automotive, BFSI, consumer packaged goods, e-commerce, edutech, engineering R&D, hi-tech, manufacturing, retail and travel/transportation/hospitality. A Great Place to Work-Certified™ company, Happiest Minds is headquartered in Bangalore, India with operations in the U.S., UK, Canada, Australia and Middle East.
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