Specialist Software Engineer - SPARK Societe Generale Global Solution Centre

4.0 - 9.0 years

9 - 14 Lacs

Bengaluru

Work from Office

Minimum of 4+ years of software development experience with demonstrated expertise in standard development best practice methodologies SKILLS REQUIRED: Spark, Scala, Python, HDFS, Hive, , Scheduler ( Ozzie, Airflow),Kafka Spark/Scala SQL RDBMS DOCKER KUBERNETES RABBITMQ/KAFKA MONITORING TOOLS - SPLUNK OR ELK Profile required Integrate test frameworks in development process Refactor existing solutions to make it reusable and scalable - Work with operations to get the solutions deployed Take ownership of production deployment of code Collaborating with and/or lead cross functional teams, build and launch applications and data platforms at scale, either for revenue generating or operational purposes *Come up with Coding and Design best practices *Thrive in self-motivated internal-innovation driven environment Adapting fast to new application knowledge and changes

Posted 1 week ago

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Data Engineer searce

1.0 - 5.0 years

3 - 7 Lacs

Mumbai

Work from Office

Data Engineer identifies the business problem and translates these to data services and engineering outcomes. You will deliver data solutions that empower better decision making and flexibility of your solution that scales to respond to broader business questions. key responsibilities As a Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Think big! and drive the strategy for better data quality for the customers Collaborate with many teams - engineering and business, to build better data products preferred qualifications Over 1-2 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Pig, Presto) Data-pipeline & schedular tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Good communication skills Experience in working independently and strong analytical skills Dependable and good team player Desire to learn and work with new technologies Automation in your blood

Posted 2 months ago

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