Senior Data Engineer
1 week ago
Senior Data Engineer
Job Location:
- Hyderabad (Work from Office)
Experience Level:
Mid-Senior (8+ Years)
About Kellton:
We are a renowned IT service provider specializing in digital product design and development, catering to startups, medium-sized businesses, and large enterprises in various sectors such as Finance, Healthcare, Retail, Manufacturing, Government, and Nonprofits. At Kellton, we prioritize our people and aim to nurture a work environment centered around collaboration, innovation, and continuous learning. Our core principles revolve around integrity, customer-centricity, teamwork, and excellence. If you seek an autonomous and dynamic workplace, this opportunity might be the perfect fit for you.
At our company, we highly value critical thinking abilities and welcome your innovative ideas to ensure we have the best talent on board. To enhance productivity, we offer a comprehensive set of IT tools and practices supported by a skilled team.
What you will do:
- Provide expertise and guidance as a seasoned Data Engineer in devising solutions for Data Lake and analytics-focused Data Operations.
- Design, develop, and deploy complete data solutions (storage, integration, processing, access) on leading platforms like AWS and Azure.
- Architect and execute Integration, ETL, and data movement strategies using AWS Glue, MSK and/or Confluent, and other COTS technologies.
- Create documentation and blueprints for data solutions and applications.
- Establish and manage distributed analytics platforms for analyst teams.
- Develop streaming solutions employing Amazon Kinesis, Kafka, Talend, and Confluent.
- Transfer data from traditional relational databases to AWS relational databases like Amazon RDS, Aurora, Redshift, DynamoDB, Cloudera, Snowflake, Databricks, etc.
- Implement ad-hoc analysis solutions with tools like Athena, and other SQL and No-SQL platforms such as Alteryx.
- Suggest cost-effective architectures in AWS and develop optimization plans for AWS data infrastructure.
Who you are:
- Hold a Bachelor's degree in Computer Science, or Software Engineering.
- Carry 8+ years of experience in the Data field as an Engineer and Architect.
- Thorough knowledge of AWS and Azure storage solutions like S3, EFS, and EBS.
- Thorough understanding of AWS and Azure compute solutions e.g., EC2.
- Hands-on experience in implementing solutions on AWS and Azure relational databases such as MSSQL, SSIS, Amazon Redshift, RDS, and Aurora.
- Experience in working with ElastiCache and DynamoDB.
- Experience in designing Enterprise Data Warehouse, Data Marts/Lakes.
- Familiarity with Star or Snowflake Schema.
- Proficient in R and Python and other cutting-edge technologies in D&A.
- Understanding of Slowly Changing Dimensions and Data Vault Model.
- AWS and Azure Certifications are advantageous.
What we offer you:
- Access to diverse clients across multiple domains.
- A dedicated and proficient team committed to delivering top-notch results.
- Opportunities to expand your knowledge and gain domain expertise by taking on varied responsibilities.
- A team of experienced, friendly, and collaborative colleagues.
- Hybrid work model for flexibility and maintaining work-life balance (Subject to client/project requirements).
- Competitive remuneration and job satisfaction.
Become a part of our team and join an exciting company where your skills and insights are highly regarded, allowing you to create a significant impact in the IT sector. Apply now
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