Data Engineer (SQL)

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us. We provide extensive training, bootcamps/on-the-job to prepare qualified candidates for an exciting career in Data Analytics in Government and Public Sector.

What is a Data Engineer?

The role of a data engineer can be defined as someone who has the knowledge and skills to design and build systems for collecting, storing and analyzing data at scale.

Roles and Responsibilities:

• Work closely with the project team to develop and validate the data engineering applications
• Drive the maintenance of data engineering pipelines
• Implement data engineering pipelines as per business needs and technical specifications provided by stakeholders and work closely with the data engineering team to ETL the required data from source systems into datastore
• Develop ETL jobs i.e. workflow packages, auto schedulers, in Informatica PowerCenter as per specifications and requirements
• Monitor and ensure ETL jobs are successfully executed and handle troubleshooting of any related technical problems on-site

Skills Required:

A successful data engineer needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management can serve as a solid foundation to build your career as a data engineer.

• 1 to 2 years of ETL experience
• Strong proficiency in Python and SQL scripting skill
• Prior experience with ETL operations using at least one other ETL software such as SSIS, Informatica and/or Talend is a major advantage
• Knowledge of creating ETL packages and configuring workflows
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Adept at queries with good communication and stakeholder management skill