Infrastructure Engineer

4 weeks ago

Bengaluru, India Mitchell Martin Inc. Full time

JOB DESCRIPTION
As a key member of Data Infrastructure team, you will be integral in envisioning, implementing, and evangelizing new features, pipelines, and platforms that not only delivery data, but insight. You will be at the forefront of assessing the most impactful data needs throughout the business and leading the charge in identifying automated solutions that help bring data to life. You have experience building and maintaining ETLs, data pipelines, and data models. Beyond your strong technical skills, you are a collaborator who is a passionate advocate for empowering and enlightening others with the power of data to help turn information into knowledge and actionable insights.

A SNAPSHOT OF YOUR RESPONSIBILITIES
Drive and participate in the definition, the direction, and the development of the Data platform
Work with internal stakeholders, data engineers and data science team to scope the requirements, evaluate business needs and objectives
Design and develop highly scalable, reliable, extensive, and maintainable Data Processing Frameworks
Establish and implement best engineering practices such as architectural design, unit and regression testing, test-driven development, pair programming, and continuous integration frameworks
Assist with process improvement with a customer focused, progressive mindset
Understand data classification and adhere to the information protection and privacy restrictions on data
Proficient in containerization technologies, including Docker, and container orchestration with Kubernetes
Experience with Terraform, CloudFormation and CDK
Experience with Building CICD Frameworks using Jenkins, GitHubActions for Automated Deployments
Maintain Git lab Repositories, Handling Releases and Branching activities
WHAT YOU WILL NEED
5+ years as a professional Database Infrastructure engineer with experience in production scale platforms
Strong experience with distributed data architectures and big data processing technologies (Spark, EMR, Hadoop, Hive)
Strong experience with Configuration Management, Continues integration and DevOps
Expert knowledge of AWS Analysis services like Redshift, Glue, Athena, Lake Formation
Strong knowledge on Python or similar scripting language
Strong experience with Realtime Frameworks, collection, and processing Realtime data using kinesis Data Streams, KCL, KDA and Firehoses
Strong understanding of AWS security services including KMS, CloudTrail, STS
Strong understanding of Kinesis/Glue frameworks and Spark Streaming for building Realtime analytics
Expert in CICD framework, Preferably GitHubActions, Jenkins and GitHub for version controlling
Expert knowledge on Blue/Green Deployment for Lambda and Microservices Expert Knowledge on Elastic Containers and Elastic Container Services
Discerning appreciation of best practices in designing data lakes/lake houses, mentoring junior members, peer review and recommendation
Proven ability to deliver high quality, production ready code
Expert understanding of the agile software development life cycle
Strong customer service and communication skills (verbal and written) to effectively interact with a diverse team of people across business and engineering
Bachelor’s degree in computer science
NICE TO HAVE, BUT NOT A DEALBREAKER
Experience with Snowflake and Delta Lake technologies is a plus

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