GCP Cloud- Data Architect- PAN India

Tredence Inc.; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Tredence Inc. seeks an experienced Big Data Engineer to lead data engineering efforts across data pipelines and analytics platforms.

You will design and implement scalable data architectures, mentor junior team members, and collaborate with data scientists and software engineers to deliver robust ML and DS solutions.

Qualifications

• Extensive experience with data warehousing and data modeling.
• Proficient in distributed computing and big data tooling.
• Hands-on expertise with Spark, Hadoop, and streaming systems.

Responsibilities

• Select and integrate Big Data tools and frameworks to deliver capabilities.
• Develop and maintain ETL data pipelines and monitor performance.
• Translate complex requirements into detailed designs for data platforms.
• Analyze alternative data storage and processing approaches for optimal results.
• Mentor junior staff through technical training and code reviews.

Skills

Data warehousing

Data modeling

Hadoop v2

MapReduce

HDFS

Stream processing

Storm

Spark Streaming

Pig

Hive

Impala

Spark

SQL

Linux

ETL techniques

Flume

Apache NiFi

DBT

Kafka

RabbitMQ

Lambda Architecture

Job description

In this rapidly evolving world, Tredence is always looking for new ways to disrupt the status quo, go to market faster, and optimize customer experiences. We are seeking an experienced product engineer to lead the charge on this mission. The ideal candidate will have thorough experience in executing ML and DS solutions and managing and collaborating with a team of data engineers, data scientists and software engineers. They will foster an environment of collaboration and creativity. Most importantly, they will be integral to helping us build better products that people [or businesses] love to use.

About Tredence

Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and South East Asia.

We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across our clients.

Primary Roles and Responsibilities:

• Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
• Develop and maintain data pipelines implementing ETL process, monitoring performance and advising any necessary infrastructure changes
• Translate complex technical and functional requirements into detailed designs
• Investigate and analyze alternative solutions to data storing, processing etc. to ensure most streamlined approaches are implemented
• Serve as a mentor to junior staff by conducting technical training sessions and reviewing project outputs

Skills and Qualifications:

• Strong understanding of data warehousing and data modeling techniques.
• Proficient understanding of distributed computing principles - Hadoop v2, MapReduce, HDFS
• Experience with building stream-processing systems, using solutions such as Storm or Spark- Streaming
• Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
• Experience with Spark, SQL, and Linux.
• Knowledge of various ETL techniques and frameworks, such as Flume, Apache NiFi, or DBT.
• Experience with various messaging systems, such as Kafka or RabbitMQ.
• Good understanding of Lambda Architecture, along with its advantages and drawbacks

Experience - 8 to 14 years

Notice Period- 0-15 days