Hybrid Pan India 1–3 yrs Apply by Oct 31, 2026

Data Engineer - AWS

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.