Senior Data Engineer

Job Title:

Location:

Experience:

About the Role

Snowflake, Python, and SQL, with exposure to AWS Glue

.Key Responsibilitie

• s:Design, develop, and maintain scalable data pipelines and ETL workflows on AW
• S.Work extensively wit

  h Snowfla

  ke

  , Pyth

  on, an

  d S

  QL to process, transform, and analyze dat
• a.Optimize and maintain existing data architectures to ensure high performance and cost efficienc
• y.Integrate data from multiple sources into a unified data warehous
• e.Collaborate with data analysts, data scientists, and business stakeholders to meet data requirement
• s.Implement data governance, quality checks, and best practices in data engineerin
• g.Us

  e D

  BT (if applicable) for data modeling and transformation in the ELT framewor
• k.Troubleshoot data pipeline issues and perform root cause analysi

s.Required Skills (Mandator

• y):Snowfl

  ake – Data warehouse development, performance tuning, and query optimizat

• ionPyt

  hon – Scripting for automation and data process

• ing

  SQL – Advanced query writing and optimization ski

• llsAWS G

luePreferred / Optional Ski

• lls

  :DBT – Data transformation and mode

• lingAWS Reds

  hift – Data warehousing and analy

• ticsAWS La

  mbda – Serverless data proces

singQualificat

• ions:Bachelor’s degree in Computer Science, Information Technology, or a related f
• ield.1.6 – 6 years of hands-on experience in data engineering r
• oles.Strong problem-solving skills and ability to work in fast-paced environm
• ents.Good communication and collaboration sk