AWS Data Engineer

Techila Global Services

Hyderabad, INhybridPosted Jul 14, 2026
Posting intelligenceActively listed

Skills

cloudformationsalesforceterraformairflowpythonsparkscalacicdawsml

About the role

Hybrid Hyderabad 6–10 yrs Apply by Jul 19, 2026

AWS Data Engineer

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

6–10 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Jul 19, 2026

Required Skills

AWSData ScienceSQL

Job Description

AWS Data Engineer Hyderabad · Full-time · Hybrid

About the Role We are looking for a Senior AWS Data Engineer to bridge the gap between high-level data architecture and hands-on engineering, designing modern data lakes, warehouses, and streaming platforms on AWS. The role requires building pipelines and architecting scalable, robust, and cost-efficient data ecosystems. The ideal candidate will have experience in data engineering, data architecture, and system design.

Key Responsibilities

Design and implement scalable, secure, and highly available cloud data architectures on AWS.

Design, build, and optimize robust ETL/ELT pipelines to ingest, process, and transform massive datasets.

Create and maintain conceptual, logical, and physical data models for high-performance analytics, reporting, and AI/ML use cases.

Optimize complex SQL queries, Spark jobs, and storage formats to ensure maximum efficiency and minimal AWS costs.

Implement strict data governance, data quality framework checking, IAM policies, and encryption protocols to ensure data compliance and security.

Act as the technical authority for data architecture within the team, mentoring junior engineers and collaborating closely with Data Scientists, DevOps, and Product owners.

Requirements

Have 6+ years of dedicated experience in Data Engineering, with at least 2+ years focused on data architecture and system design.

Possess deep hands-on expertise with AWS data services, including Compute/Processing, Storage/Warehouse, and Streaming.

Have proficiency in Python or Scala, and extensive experience with Apache Spark.

Demonstrate master-level SQL skills and a deep understanding of data warehousing concepts.

Have hands-on experience with Infrastructure as Code (IaC) tools like Terraform, AWS CloudFormation, or AWS CDK.

Have experience with workflow orchestration tools like Apache Airflow and standard Git-based CI/CD pipelines.

What We Offer Note: This section is not present in the provided source, however, it is included here as per the instruction to include everything from the source. Since there is no information about what the company offers, this section is left blank.

At a Glance

Work ModeHybrid

EmploymentFull-time

Experience6–10 yrs

Openings1

LocationHyderabad

DeadlineJul 19, 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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