DevJobs

Data Engineer

Overview
Skills
  • SQL SQL
  • Kafka Kafka
  • Spark Spark
  • MySQL MySQL ꞏ 5y
  • PostgreSQL PostgreSQL ꞏ 5y
  • Cassandra Cassandra ꞏ 2y
  • Elasticsearch Elasticsearch ꞏ 2y
  • MongoDB MongoDB ꞏ 2y
  • Azure Azure
  • MSSQL ꞏ 5y
  • Azure Data Factory
  • ELT
  • ETL
  • Databricks
  • Hadoop

As a Senior Data Engineer within our development team, you will play an important role in design, implementation, and ongoing performance optimization of anything data oriented in the R&D department, including ETL/ELT processes, working closely with architects and development teams.

Your duties and responsibilities include:

  • Lead the design and implementation of scalable data architecture solutions.
  • Develop, construct, test, and maintain data architectures (e.g., databases, large-scale processing systems).
  • Identify ways to improve data reliability, efficiency, and quality.
  • Collaborate with data scientists, data analysts, and other stakeholders to achieve optimal data performance.
  • Optimize complex SQL queries and perform performance tuning.
  • Participate in Scrum and Agile development processes.
  • Implement and manage relational and non-relational databases.

Must-have Qualifications

  • 5+ years of experience leading, designing, and implementing data architecture at an enterprise level.
  • 5+ years of experience working with relational databases (for example, PostgreSQL, MSSQL or MySQL).
  • 2+ years of experience working with Elasticsearch.
  • 2+ years of experience working with non-relational databases (for example, MongoDB or Cassandra).
  • Be exceptionally strong in SQL development - complex queries and performance tuning.
  • Implement and manage ETL/ELT processes for data integration and transformation.
  • Proficiency in Azure and Azure Data Factory for data integration and transformation.
  • Experience with Scrum and Agile methodology.
  • Fluent in spoken and written English.


Advantages

  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Experience with Databricks or similar data processing platforms.
  • Familiarity with data warehousing solutions.
  • Knowledge of data governance and data security practices.
  • Certification in Azure or other relevant technologies.
  • University or college degree in Computer Science or a related discipline.


Who we are

With a startup spirit and 130,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it.

We create products and platforms that demonstrate outstanding design for our clients and their customers. And this is your opportunity to be part of a team that is creating positive impact on the world by developing products that people love and making a difference in people’s lives.

It is a unique opportunity to be part of the team that is working with cutting-edge technologies to create a new SaaS orchestration platform. This platform will be used by global Fortune 500 companies. We need someone who can think really big.

Now, we’re calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it. Come, transform with us.


Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.

For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Genpact