Looking For Data Engineer

Required Qualifications :

3+ years of demonstrated ability with Hive, Python, Spark/Scala, SQL, etc.

Google Cloud Platform Experience, Big Query, Cloud Storage, Dataproc, Data Flow, Cloud Composer, Cloud SQL, Pub Sub, Terraform, etc.

Experience with Hadoop Ecosystem, Kafka, PCF cloud services

Familiar with big data and machine learning tools and platforms

Experience with BI tools, such as Alteryx, Data Stage, QlikSense, etc.

Design data pipelines and data robots, take a vision and bring it to life

Master data engineer; mentors others; works closely with IT architects to set strategy and design projects

Provide extensive technical, and strategic advice and guidance to key stakeholders around the data transformation efforts

Redesign data flows to prevent recurring data issues

Strong analytical and problem-solving skills

Possess excellent oral and written communication skills, as well as facilitation

and presentation skills, and engaging presentation style.

Ability to work as a global team member, as well as independently, in a

changing environment and prioritize.

Ability to establish and maintain coordinated and effective working relationships with application implementation teams, IT project teams, business customers, and end users.

Ability to deliver work within deadlines.

Experience with agile/lean methodologies

Experience working independently and with minimal supervision

Experience with Test Driven Development and Software Craftsmanship

Experience with GitHub, Accurev, or other version-control systems

Experience with Putty

Experience with Datastage

Strong Communications skills

Ability to illustrate and convey ideas and prototypes effectively with team and partners

Presence demonstrating confidence, ability to learn quickly, influence, and shape ideas

Key Skills Required Data Engineer

Python / PySpark / Scala

SQL & Hive

Hadoop Ecosystem

Data Pipeline Design & ETL Development

Google Cloud Platform (BigQuery, Dataproc, Dataflow, Cloud Storage)

Kafka / Streaming Data Processing

Terraform (Infrastructure as Code)

DataStage or Similar ETL Tools

Version Control (GitHub or equivalent)

Agile Methodologies

Strong Analytical & Problem-Solving Skills

Stakeholder Collaboration & Communication

Nice to Have:

Cloud Composer, Cloud SQL, Pub/Sub

BI Tools (Alteryx, QlikSense)

Machine Learning Platform Exposure

Test Driven Development (TDD)

Mentoring & Technical Leadership

• Experience

  3 - 5 Years

• No. of Openings

  5

• Education

  Graduate

• Role

  Data Engineer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office