𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 𝗪𝗲’𝗿𝗲 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗙𝗼𝗿 (𝗠𝘂𝘀𝘁-𝗛𝗮𝘃𝗲)

5+ years in Data Engineers with strong hands on with 𝗦𝗽𝗮𝗿𝗸 𝗣𝘆𝘁𝗵𝗼𝗻 (𝗳𝗼𝗿 𝗘𝗧𝗟), building 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝘀𝗲𝗰𝘂𝗿𝗲, 𝗮𝗻𝗱 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀

Experience developing and maintaining 𝗿𝗼𝗯𝘂𝘀𝘁 𝘀𝗲𝗿𝘃𝗲𝗿-𝘀𝗶𝗱𝗲 𝗹𝗼𝗴𝗶𝗰, 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, 𝗮𝗻𝗱 𝗔𝗣𝗜𝘀

Strong background in designing and implementing 𝗥𝗘𝗦𝗧𝗳𝘂𝗹 𝗔𝗣𝗜𝘀 𝗮𝗻𝗱/𝗼𝗿 𝗚𝗿𝗮𝗽𝗵𝗤𝗟 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀

Experience building backend systems for 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗮𝗻𝗱 𝗔𝗜/𝗠𝗟-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀

Solid understanding of 𝗺𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, distributed systems, and messaging platforms 𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤, 𝗞𝗮𝗳𝗸𝗮 or similar

Hands-on experience with 𝗮𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗮𝘂𝘁𝗵𝗼𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗺𝗲𝗰𝗵𝗮𝗻𝗶𝘀𝗺𝘀

𝗢𝗔𝘂𝘁𝗵, 𝗝𝗪𝗧, secure API design best practices

Strong focus on 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻

Ability to identify and resolve 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸𝘀 𝗶𝗻 𝗰𝗼𝗱𝗲, 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗾𝘂𝗲𝗿𝗶𝗲𝘀, 𝗮𝗻𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲

Experience with 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 (𝗗𝗼𝗰𝗸𝗲𝗿, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀)

Hands-on exposure to 𝗔𝗪𝗦 𝗮𝗻𝗱/𝗼𝗿 𝗔𝘇𝘂𝗿𝗲

Experience working with 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 𝘁𝗲𝗮𝗺𝘀 (𝗚𝗶𝘁, 𝗝𝗲𝗻𝗸𝗶𝗻𝘀, 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺)

Ability to write 𝘂𝗻𝗶𝘁, 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝘁𝗲𝘀𝘁𝘀 to ensure system reliability

Strong collaboration skills to work with 𝗳𝗿𝗼𝗻𝘁𝗲𝗻𝗱, 𝗗𝗲𝘃𝗢𝗽𝘀, 𝗱𝗮𝘁𝗮, 𝗮𝗻𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘁𝗲𝗮𝗺𝘀

𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 / 𝗚𝗼𝗼𝗱 𝘁𝗼 𝗛𝗮𝘃𝗲

Experience with additional backend languages such as 𝗚𝗼𝗹𝗮𝗻𝗴, 𝗥𝘂𝘀𝘁, 𝗼𝗿 𝗝𝗮𝘃𝗮

Exposure to 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗔𝗜/𝗠𝗟 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁

Experience with 𝗵𝗶𝗴𝗵-𝘀𝗰𝗮𝗹𝗲, 𝗵𝗶𝗴𝗵-𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀

Exposure to Databricks highly preferred.

Familiarity with infrastructure-as-code and cloud-native architectures