Tech Lead - Cloud Migration

Next Pathway

Pune City

On-site

INR 2,500,000 - 3,500,000

Full time

14 days+

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Job summary

A prominent technology services company in Pune is looking for an experienced Tech Lead. You will guide cloud migration initiatives, oversee data engineering projects, and ensure successful delivery. Candidates should have 13+ years in IT focused on data engineering and ETL, with expertise in Datastage, Azure Data Factory, Databricks, and PySpark. This position offers a full-time contract at a mid-senior level with substantial responsibilities in a collaborative environment.

Qualifications

  • Minimum of 13 years of experience in IT with a focus on data engineering and ETL.
  • Proven experience as a Technical Lead, managing and mentoring developers.
  • Extensive hands-on experience with Datastage for ETL processes.

Responsibilities

  • Lead and guide a team of data engineers in cloud migration solutions.
  • Design and architect data pipelines for cloud migration.
  • Actively participate in development and code reviews.

Skills

Data engineering
ETL processes
Team leadership
Cloud migration
Azure Data Factory
Datastage
Databricks
PySpark
SQL
Problem-solving

Tools

Datastage
Azure Data Factory
Databricks
PySpark

Job description

HR Business Partner - Next Pathway | Ex- Persistent Systems | Ex- Honeywell

Nextpathway | The Automated Cloud Migration Company

Next Pathway is a technology services company providing clients a pathway from existing to emerging technologies. Our automation technology helps our customers accelerate the migration of complex applications and workloads to the cloud.

About the Role

Next Pathway is seeking an experienced and highly skilled Tech Lead to spearhead our cloud migration initiatives. The ideal candidate will have a minimum of 13 years of experience in the IT industry, with a strong focus on data engineering, ETL, and a proven track record of successfully leading large-scale cloud migration projects. This role requires a hands-on leader who can guide a team, architect solutions, and ensure the successful delivery of complex data transformation projects.

Key Responsibilities
  • Technical Leadership: Lead, mentor, and guide a team of data engineers and developers in the design, development, and implementation of cloud migration solutions.
  • Solution Architecture: Design and architect robust, scalable, and high-performance data pipelines for migrating on-premise data to the cloud. This includes defining the migration strategy, data mapping, and transformation logic.
  • Hands-on Development: Actively participate in the development process, writing and reviewing code, and ensuring best practices are followed.
  • Technology Expertise: Serve as the subject matter expert for the project's technology stack, including Datastage, Azure Data Factory (ADF), Databricks, and PySpark.
  • Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and applications.
  • Stakeholder Collaboration: Work closely with business analysts, project managers, and other technical teams to understand requirements and translate them into technical solutions.
  • Mentorship and Training: Provide technical guidance and training to junior team members to enhance their skills and foster a culture of continuous learning.
Required Skills and Qualifications
  • Minimum of 13 years of experience in the IT industry, with a significant portion focused on data engineering and ETL.
  • Proven experience as a Technical Lead, managing and mentoring a team of developers.
  • Extensive hands-on experience with Datastage for ETL processes.
  • Deep expertise in Cloud Migration projects, with a strong understanding of migrating data from on-premise to cloud environments.
  • Proficiency in Azure Data Factory (ADF) for building and orchestrating data pipelines.
  • Strong experience with Databricks and its functionalities for big data processing and analytics.
  • Expertise in PySpark for developing scalable and efficient data processing applications.
  • Solid understanding of cloud platforms, preferably Microsoft Azure.
  • Experience with other data technologies and concepts like SQL, data warehousing, and dimensional modeling.
  • Excellent problem-solving, communication, and leadership skills.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology and Consulting
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