Lead II - AWS Data Engineer

7 - 9 Years
1 Opening
Bangalore

AWS
Data Engineers

Role
Overview:

Seeking
a highly skilled AWS Data Engineer to join our Cloud, Data & AI practice
and play a key role in delivering cutting-edge, cloud-native data solutions for
our clients across industries. In this role, you will design and implement
scalable, secure, and resilient data architectures on AWS that enable
actionable insights and operational efficiencies. As an integral member of
multi-disciplinary teams, you will work closely with business leaders, data
scientists, and technologists to solve complex challenges and accelerate
clients digital transformation journeys.

Your
expertise in AWS cloud technologies, data pipelines, and analytics will ensure we
continue to uphold its reputation for delivering data solutions that drive
sustainable business value and competitive advantage.

Key
Responsibilities:

• Design, develop,
  and deploy robust, scalable, real-time AWS-based data solutions aligned
  with high standards and client business objectives.
• Architect and
  maintain secure, compliant data lake and warehouse solutions utilizing AWS
  services such as S3, Redshift, EMR, Lambda, Kinesis, and more.
• Build efficient
  ETL/ELT workflows that support diverse, complex data sources, and enable
  timely data availability for analytics and reporting.
• Lead the
  creation and optimization of event-driven, streaming data pipelines that
  support advanced analytics, AI/ML models, and decision-making
  processes.
• Partner with consultants,
  data scientists, BI engineers, and client teams to translate business
  problems into effective technical solutions.
• Ensure adherence
  to our rigorous data governance, security, and privacy policies throughout
  the solution lifecycle.
• Implement
  automation and DevOps best practices within data engineering pipelines to
  enhance reliability, scalability, and deployment velocity.
• Stay abreast of
  AWS innovations and industry trends to continually bring new opportunities
  to our data practice and clients.

Preferred
Qualifications:

• Proven
  experience building enterprise-level data engineering solutions on AWS,
  supporting large-scale data initiatives.
• Proficiency in
  Python and hands-on experience with data orchestration tools (Apache
  Airflow, AWS Step Functions, or equivalent).
• Solid hands-on
  experience of distributed data frameworks and streaming technologies such
  as Apache Spark, Kafka, and Hive.
• Hands-on
  expertise with AWS ecosystem including S3, Lambda, Kinesis, Redshift, EMR,
  Glue and SQS.
• Strong data
  modeling skills and experience designing ETL/ELT pipelines for batch and
  real-time ingestion.
• Familiarity with
  CI/CD pipelines, version control, and infrastructure-as-code tools
  (CloudFormation, Terraform).
• Exceptional
  analytical skills with a proactive, problem-solving approach and a strong
  customer orientation.
• Excellent
  communication and collaboration skills suited for a consulting environment
  involving clients and internal teams.

Bachelor s or higher
degree in Computer Science, Information Systems, Engineering or related fields;
AWS certification(s) highly desirable.

aws,data engineering,python,apache spark,kafka,hive,lambda,s3