Hybrid Pan India 1–3 yrs Apply by Oct 31, 2026
Data Engineer - AWS
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Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.
Experience
1–3 yrs
Employment Type
Full-time
Openings
1 position
Apply By
Oct 31, 2026
Required Skills
AWSData Engineer
Job Description
Role: Data Engineer Key Role and Responsibilities:
- Understand and translate business needs into data models supporting long-term solutions.
- Perform reverse engineering of physical data models from databases and SQL scripts.
- Analyze data-related system integration challenges and propose appropriate solutions.
- Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other datarelated considerations to ensure business value).
- Understanding the value of AI tools for improving the productivity and effectiveness of data engineering by automating repetitive tasks, improving data quality, accelerating development, and enhancing data platform operations.
- Some working experience in any of the following tools - Snowflake Cortex AI, Snowflake Copilot, Matillion, Collibra Requirements:
- 5+ Years of experience as a Data Engineer
- Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation)
- Strong knowledge of joins and common table expressions (CTEs)
- Experience in Snowflake, ETL, SQL, CI/CD
- Strong expertise in ETL process and with various data model concepts
- Knowledge of star schema and snowflake schema
- Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue
- Good knowledge of Python
- Strong understanding of AI tools and their application in data engineering, including data integration, transformation, automation, and analytics. Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
At a Glance
Work ModeHybrid EmploymentFull-time Experience1–3 yrs Openings1 LocationPan India DeadlineOct 31, 2026
[ Hiring process ]
What to expect
Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.
- STEP 0130 min
Screening Call
Introductory conversation with our talent team to understand your background and motivations.
- STEP 0260–90 min
Technical Round
Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.
- STEP 0345 min
Culture Fit
Conversation with practice leadership covering working style, ownership, and how you collaborate.
- STEP 04Within 5 days
Offer
Formal offer with full compensation breakdown, start date, and onboarding plan.
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