Data Engineering Lead

1 month ago

Bengaluru, India In Time Tec Full time

Exprience: 5+years


Job Overview:


The position requires an experienced and ambitious candidate who is passionate about technology and is self-driven. The candidate must be technically proficient in all phases of development life cycle, yet savvy enough to interface with non-technical stakeholders to achieve results and meet common project goals. The candidate must be one that thrives in a fast-paced dynamic environment. We have an energetic workplace where we welcome innovative ideas and offers growth opportunities and positive environment for accomplishing goals. Our purpose is to create abundance for everyone we touch.


Job Description:


• Serve as a technical lead for data engineering-centric software development projects of moderate to high complexity

• Performing hands-on software development and design while serving as team lead.

• Understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and deploy features.

• Creating and updating project plans and/or task checklists for assigned projects.

• Handling multiple projects simultaneously

• Following established company standards and best practices.

• Assist with solution estimation and team structure definition

• Stay informed of industry trends and technologies

• Work with onsite team and clients for resolving technical dependencies, issues, and risks

• Serve as an escalation point for production and/or platform issues

• Grow the data engineering team including hiring and training junior staff

• Other duties as defined by management.


Skills Required:


• Design and build analytic tools and processes to enable businesses.

• Create and present visualizations to convey information effectively.

• Evaluate and define metrics to improve business performance.

• Collaborate with multi-functional teams working on data to automate and scale our business processes.

• Contribute and collaborate on the product vision

• Knowledge of AWS cloud development technologies and best practices.

• Developing, deploying and managing ETL pipelines in highly available production environments.

• Familiarity with geospatial analysis and geospatial data visualization.

• You must be diligent and proactive, and show excellent business judgment and critical thinking, along with the ability to work independently and collaboratively in a congenial, fastpaced team environment.

• Experience with Hadoop, map/reduce, Spark, Kafka, Impala, Databricks, Hive, Airflow or other big data technologies.

• Familiarity with RDBMS technologies (PostgreSQL, MySQL, Oracle, etc.).

• Experience with modern DevOps toolchains.

• Experience in JIRA, Jenkins, Splunk, Grafana, Git or similar is a plus.

• Excellent written and verbal communication skills and the ability to handle multiple tasks under tight deadlines.

• Should be humble, coachable and can thrive even in difficult situation


Additionally, you should have familiarity and working knowledge of:


• Familiarity with AWS development standard methodologies and toolsets.

• Familiarity with Machine Learning tools and techniques.

• Experience with any scripting language (Python, Ruby, BASH, etc.).

• Experience with several languages, including Python, Java, Scala, and C/C++

• Experience with Linux environment and common tools

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