We are the Gen-Next technology solution provider, solving complex business problems. We assist our happy customers across all spectrum to reimagine their business processes and navigate their digital journey. Our out-of-the-box solutions continue to bridge the gap between ideas and reality, delivering impact through connected data, architecture and experience.
WE ARE ENQUERO – DIGITALLY TRANSFORMING businesses since 2014!
Excellence with Enquero
We are a vibrant and a ridiculously norm-challenging bunch with increasingly diverse teams across the globe. Our open culture enables easy ideation, innovation and delivery. Our voracious appetite for knowledge makes growth organic to us.
If you have a passion for problem solving and quirkiness doesn’t scare you, come be a part of our rapidly growing company. Oh! we do have a life outside work as well.
As a Senior Data Engineer in Enquero’s Data & Analytics unit you will be part of a fast-paced team designing, developing, testing, integrating, and supporting technically innovative solutions for our Fortune 500 customers. You will leverage your wide range of experiences, developed professional concepts as well as understanding of the industry, customer, and company objectives to resolve complex issues in creative ways. This job will start your journey as a leader within the organization.
We expect your passion for technologies and your ability to work on issues where analysis of situation or data requires review or relevant factors. you will be responsible for leading the development/testing of applications, which may include end-to-end ownership of software stack. Your demonstrated ability to consistently achieve this while building and leading effective teams and diversifying your own knowledge in the areas broader than your programs/assignments will define success in this role.
Ability to work individually or mentor a small group in an Agile development environment.
Communicate effectively with global customers and collaborate well within a team environment to drive results.
Embrace new technologies and work with various tools and technologies to achieve desired functionality.
Work on problems of diverse scope, develop solutions to technology challenges and deliver the requirements before the deadlines.
Follow standard practices and procedures in analyzing situations or data from which answers can readily be obtained.
Contributing to your BU/Practice by
Keep updated on the latest technologies with technology trainings and certifications
Actively participate in organization level activities and events related to learning, formal training, interviewing, special projects etc.
Advance skills in big data technologies like Hadoop, Python, Spark, SQL.
Must have experience building data APIs.
5+ years of relevant experience in the field of Data Engineering
Bachelor’s in Computer Science or related disciplines
Knowledge of Data Structures and Algorithm.
Strong Python programming skills with ability to implement OOPs and functional programming. Knowledge of Scala/Java would be plus.
Strong knowledge on RDBMS and NoSQL databases with the ability to implement them from scratch. Knowledge of Graph databases will be a plus.
Strong expertise in building & optimizing data pipelines, architectures, and data sets.
Experience working with different file formats like Parquet, ORC, Avro, RC, etc.
Experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc.
Knowledge and experience of using orchestration frameworks like Airflow, Oozie, Luigi, etc.
Experience using Spark, and building jobs using Python/Scala/Java.
Experience or Knowledge building stream processing platforms using Spark Streaming, Storm, etc. Knowledge of Kafka/Flink+Beam would be plus.
Knowledge of building REST API end points for data consumption.
Experience in building scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processes utilizing varioud technologies such as Spark, Kafka, Presto, SAP HANA, Airflow, informatica.
Perform Data analysis using Python, complex SQLs, and other tools.
Perform root cause analysis of issues from platform standpoint on Kubernetes, Containers, Hadoop, Spark, Hive, Presto
Excellent oral and written communication is a must.
Master’s in Computer Science or related disciplines
Experience building self-service tools for analytics would be plus.
Knowledge of ELK stack would be a plus.
Knowledge of implementing CI/CD on the pipelines is a plus.
Knowledge of Containerization (Docker/Kubernetes) will be plus.
Experience working with one of the popular Public Cloud based platforms is preferred
This job description is intended to describe the general nature of the work performed by employees in this job. It is not an exhaustive list of all the job’s responsibilities. At Enquero, all of our jobs include broad responsibilities for continually improving the processes we use to develop our products.
Enquero is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Job ID: 2022-4131
External Company Name: Enquero Inc
External Company URL: enquero.com
Street: IndiQube – Grape Garden, Survey No.130,
18th Main Road,