Lead Data Engineer

10 Months ago • 10 Years +

Data Analysis

Job Description

As a Data Engineer with ETL/ELT background, the candidate needs to design and develop reusable data ingestion processes from variety of sources and build data pipelines for Synapse Azure cloud data warehouse platform and reporting processes. Responsibilities include designing, developing, and implementing ETL processes on Pyspark, Azure Cloud using Databricks and Azure Synapse, demonstrating advanced SQL knowledge, writing optimized queries for faster data work flows, handling large volume data and working using different tools to derive the required solution, collaborating with onshore team, business analysts and other data engineering teams to ensure alignment of requirements, methodologies and best practices.

Good To Have:

Python scripting
Experience with any cloud (Azure platform and Synapse/ AWS).
Experience with Git / Azure DevOps

Must Have:

Bachelor's Degree or master’s degree in Computer Science.
10+ years of hands-on software engineering experience.
Proven work experience in Spark, Python, SQL, Any RDBMS.
Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS
Strong database fundamentals including SQL, performance and schema design.
Understanding of CI/CD framework
Ability to interpret/write custom shell scripts.

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Description

Position at Apexon

Company Description: Apexon is a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

Responsibilities

· Design, develop & implement ETL processes on Pyspark, Azure Cloud using Databricks and Azure Synapse

· Advanced SQL knowledge, capable to write optimized queries for faster data work flows.

· Must be extremely well versed with handling large volume data and work using different tools to derive the required solution.

· Work with onshore team, business analysts and other data engineering teams to ensure alignment of requirements, methodologies and best practices

Requirements

· Bachelor's Degree or master’s degree in Computer Science.

· 10+ years of hands-on software engineering experience.

· Proven work experience in Spark , Python ,SQL , Any RDBMS.

· Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS

· Strong database fundamentals including SQL, performance and schema design.

· Understanding of CI/CD framework is an added advantage.

· Ability to interpret/write custom shell scripts. Python scripting is a plus.

· Experience with any cloud is desired (Azure platform and Synapse/ AWS).

· Experience with Git / Azure DevOps

To be able to work in a fast-paced agile development environment.

If this role sounds like you, we invite you to apply. Our recruiting team will be in touch shortly with qualified candidates regarding next steps.

Disclaimer: If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here.

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