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Data Engineer

Pull Skil Verified employer

Contract Remote
Experience
3+ years
Work mode
Remote
Salary
₹11L – ₹24L a year estimatetypical for IT Jobs in India, 991 posts
Posted 4 years ago Last checked 3 hr ago

You apply on Pull Skil's website. CoreHRx takes you there after you sign in.

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Role at a glance

You will
  • Essential Functions:
  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
Experience
3+ years
Must-have skills
AWSAirflowAmazon S3Apache SparkC++Cassandra
Work mode
Remote

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Job description

Location: Hyderabad, TG, India
Department: Consulting

Job Description

Job Title: Data Engineer

Duration: 6+ Months Contract

Location: Remote India

Duties And Responsibilities

Essential Functions:

·         Create and maintain optimal data pipeline architecture.

·         Assemble large, complex data sets that meet functional / non-functional business requirements.

·         Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

·         Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

·         Build analytics tools that utilize the data pipeline to provide actionable insights for Information Asset as well as Information Asset Customers’ operational efficiency and other key business performance metrics.

·         Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

·         Create data tools for analytics to build and optimize offering into an industry leading solution

·         Work with data and analytics experts to strive for greater functionality data systems.

Position Requirements

·         Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

·         Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

·         Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

·         Strong analytic skills related to working with unstructured datasets.

·         Build processes supporting data transformation, data structures, metadata, dependency and workload management.

·         A successful history of manipulating, processing and extracting value from large, disconnected datasets.

·         Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

·         Strong project management and organizational skills.

·         Excellent writing and verbal communication skills and a high level of customer orientation

 Working Environment/Travel Requirements

This is a remote working position and you will be expected to work out of a home office with high speed internet and phone connection to enable seamless virtual presence.

Qualifications

Required Education and Experience:

·         Bachelor’s degree in computer science or information technology, or equivalent work experience.

·         3+ years as a Data Engineer.

·         Data engineering certification (e.g. IBM Certified Data Engineer, AWS Certified Data Analytics - Specialty) is a plus.

·         Must have technical expertise with data models, data mining, and segmentation techniques.

·         Experience using any of all of a combination of the following software/tools: • Relational SQL and NoSQL databases, including Postgres and Cassandra.

·         Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

·         Data Storage Technologies like Amazon S3, Snowflake/Redshift, Hive, HDFS

·         Stream-processing systems: Storm, Spark-Streaming, etc.

·         Object-oriented/object function scripting languages: Python/ pySpark, Java, C++, Scala, etc.

·         Data warehousing using Oracle/Snowflake.

·         ETL Technologies like -Apache Spark/AWS Glue/ Databricks, Apache Airflow, Apache Hadoop.

·         Experience supporting and working with cross-functional teams in a dynamic environment.

Regards,

Nick Arthur (Nizam)

Associate Director, Recruitment

Pull Skill Technologies India.

+91 7416706136

LinkedIn: linkedin.com/in/nick-arthur-83937b62

Qualifications

Any

Additional Information

All your information will be kept confidential according to EEO guidelines.

Company Description

Pull Skill Technologies India

Key skills

Required

AWSAirflowAmazon S3Apache SparkC++CassandraData EngineeringData WarehousingDatabricksETLHadoopJavaPostgreSQLPythonSQLScala

Job market insights

2,494active AWS jobs in India
246active Airflow jobs in India
12active Amazon S3 jobs in India
₹11L – ₹24L advertised yearly salary for IT Jobs in India (middle half of 991 posts that show a salary; median ₹17L)

Jobs asking for AWS in India also ask for

  • Microsoft Azure57%
  • Python55%
  • Google Cloud Platform (GCP)47%
  • CI/CD43%
  • Kubernetes35%

From live job posts on CoreHRx, updated 4 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Data Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 991 posts).

How much experience does this job need?

The post asks for 3 Yrs experience.

Where is this job based?

It is a remote job.

What kind of job is this?

It is a contract job.

How do I apply?

You apply on Pull Skil's website. CoreHRx takes you there after you sign in.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
  4. What is Amazon S3, and what are its main storage classes?

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