Digital S/W Eng Lead Analyst - C13 - PUNE

Job Title:

Data Engineer – C13/VP

The Role

We are looking for a

hands-on Data Engineer

who is passionate about solving

business problems through innovation and engineering practices. As a Data

Engineer, you will leverage your deep technical knowledge to drive the creation of

high-quality software products. You will also be expected to share your technical

expertise and promote a culture of technical excellence within the team. The Data

Engineer will work with a Team Lead and will be a code-contributing member of the

team that will deliver solutions against the sprint-level commitments.

Responsibilities

• Code contributing member of an Agile team, working to deliver sprint goals.

• Demonstrating technical knowledge and expertise in software development,

including programming languages, frameworks, and best practices.

• Actively contributes to the implementation of features and technical

solutions. Write clean, efficient, and maintainable code that meets the

highest standards of quality.

• Collaborate with other Engineers to define and evolve the overall system

architecture and design.

• Provide guidance on scalable, robust, and efficient solutions that align with

business requirements and industry best practices.

• Offer expert engineering guidance and support to multiple teams, helping

them overcome technical challenges, make informed decisions, and deliver

high-quality software solutions. Foster a culture of technical excellence and

continuous improvement.

• Stay up to date with emerging technologies, tools, and industry trends.

Evaluate their potential impact on the organization and provide

recommendations for technology adoption and innovation.

Required Qualifications

• 5+ years’ experience of implementing data-intensive solutions using agile

methodologies.

• Proficient in one or more programming languages commonly used in data

engineering such as

Python, Java, or Scala.

• Multiple years of experience with software engineering best practices (unit

testing, automation, design patterns, peer review, etc.)

• Multiple years of experience with

Hadoop

for data storage and processing is

valuable, as is exposure to modern data platforms such as

Snowflake

and

Databricks

.

• Multiple years of experience with Cloud-native development and Container

Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).

• Multiple years of experience with open-source data engineering tools and

frameworks (e.g.

Spark

, Kafka, Beam, Flink, Trino, Airflow, DBT)

• Exposure to a range of table and file formats including

Iceberg

,

Hive

, Avro,

Parquet

and JSON

• Multiple years of experience architecting and building horizontally scalable,

highly available, highly resilient, and low latency applications

• Strong proficiency in working with relational databases and using SQL for

data querying, transformation, and manipulation.

• Clear understanding of Data Structures and Object Oriented Principles.

• Experience of modelling data for analytical consumers

• Ability to automate and streamline the build, test and deployment of data

pipelines.

• Proven experience of providing technical vision and guidance to a data team.

• Thrives in a dynamic environment, capable of managing multiple tasks

simultaneously while maintaining a high standard of work.

• BA/BS degree or equivalent work experience.

Preferred Qualifications

• Experience with Data Transformation tools like Ab Initio a plus. Appreciation

of data parallelism, associated partitioning strategies and an understanding

of key components in the GDE is particularly relevant.

• Experience in cloud native technologies and patterns (AWS, Google Cloud)

• Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation,

etc.)

• Experience of driving and/or influencing the data strategy of your team or

organization

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Job Family Group:

Technology

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Job Family:

Digital Software Engineering

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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