Experience- 5-7 yrs
Location- Bangalore- Bellendur
What we’re looking for:
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Experience: 5 to 7 years of experience in data engineering or related analytical roles, with a minimum of 4 years working on cloud and big data technologies on AWS. AWS experience is highly preferred, and familiarity with Google BigQuery an Google Analytics 4 is a plus.
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Data Expertise: Strong analytical skills in handling and processing structured and semi-structured datasets, with hands-on experience in designing and implementing scalable data engineering solutions, on AWS.
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Cloud Technologies: Proficiency in building data pipelines and working with data warehousing solutions on AWS (Redshift, S3, Glue, Lambda, etc.). Experience with alternative cloud platforms (e.g., Google Cloud, Azure) is a bonus.
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Programming Skills: Strong programming proficiency in Python, with additional experience in Java/Scala being a plus. Ability to write efficient, reusable, and scalable code to process large datasets.
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Data Warehousing: Proven experience with modern data warehousing tools like AWS Redshift, Snowflake, or equivalent platforms, with a focus on performance optimization and query tuning.
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Version Control & Automation: Hands-on experience with version control systems like GitHub, GitLab, or Bitbucket, and with CI/CD pipelines using tools like GitHub Actions, AWS CodePipeline, Jenkins, etc., to ensure smooth, automated deployments.
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Data Governance & Security: Knowledge of data governance practices, compliance standards, and security protocols in a cloud environment.
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Optional Skills: Experience in business intelligence (BI) tools like Tableau, Power BI, or QuickSight, and exposure to data visualization techniques will be an advantage.
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Collaboration & Problem Solving: Ability to work in a cross-functional team, collaborating closely with data scientists, analysts, and product managers to deliver high-impact data solutions. Strong problem-solving skills and adaptability to changing business requirements.
Graduate and above
Excellent communication skills