Data Engineer - AWS

Techila Global; India; Hybrid; INR 800,000 - 1,600,000; Full time

Job summary

Techila Global in India is seeking a Data Engineer with 1–3 years of experience to design data models, implement ETL pipelines, and optimize data workflows using Snowflake and AWS services.

You will work with senior architects on Salesforce-related transformations and contribute to data architecture decisions, ensuring high data quality and scalable solutions. Bachelor’s degree in CS or related field is required with strong SQL, Python, and CI/CD experience.

Qualifications

• Bachelor's degree in computer science, software engineering, MIS or related field.
• Strong SQL with complex queries (joins, subqueries, CTEs) and data modeling concepts.
• Experience with Snowflake, ETL, SQL, CI/CD.

Responsibilities

• Translate business needs into data models for long-term solutions.
• Reverse engineer data models from databases and SQL scripts.
• Analyze data integration challenges and propose solutions.
• Support data architecture decisions and data movement strategies.
• Leverage AI tools to automate repetitive data engineering tasks and improve data quality.

Skills

SQL

Python

Snowflake

ETL

CI/CD

Data Modeling

AWS

Data Integration

Education

Bachelor's degree in CS/Software Eng/MIS

Tools

Snowflake

Matillion

Collibra

Snowflake Copilot

Job description

Hybrid Pan India 1–3 yrs Apply by Oct 31, 2026Data Engineer - AWSJoin Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.Experience1–3 yrsEmployment TypeFull-timeOpenings1 positionApply ByOct 31, 2026 Required SkillsAWSData EngineerJob DescriptionRole: 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 experienceAt a GlanceWork ModeHybridEmploymentFull-timeExperience1–3 yrsOpenings1LocationPan IndiaDeadlineOct 31, 2026[ Hiring process ]What to expectFour stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.STEP 0130 minScreening CallIntroductory conversation with our talent team to understand your background and motivations.STEP 0260–90 minTechnical RoundLive problem-solving with a senior architect on Salesforce design, integrations, or domain depth.STEP 0345 minCulture FitConversation with practice leadership covering working style, ownership, and how you collaborate.STEP 04Within 5 daysOfferFormal offer with full compensation breakdown, start date, and onboarding plan.