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2. Perform data migration and conversion activities.
3. Develop and integrate software applications using suitable development
methodologies and standards, applying standard architectural patterns, taking
into account critical performance characteristics and security measures.
4. Collaborate with Business Analysts, Architects and Senior Developers to
establish the physical application framework (e.g. libraries, modules, execution
environments).
5. Perform end to end automation of ETL process for various datasets that are
being ingested into the big data platform.
- 4-15 year experience in Application Support
- Must have good knowledge in Java/J2EE, Microservices, PL/SQL, Unix
- Good to have knowledge in Agile, JIRA, Splunk, Service Now
- Good understanding and hands-on experience in Incident, Problem and Change Management
- Provide technical leadership to the team & contribute in the skill development within team
Interact with internal teams and client stakeholders to trouble shoot the tickets/incident and manage other support activities - Good communications skills are necessary, must be team player and inquisitive.
- Strong customer service and support focus with a desire to deliver a high-quality service
- Ability to multi-task, work under pressure and to tight deadlines
- Flexible in working outside of office business hours at short notice (as required)
- Should be able to examine the system and identify the areas for Service Improvements & Value adds.
Responsibilities:
* 3+ years of Data Engineering Experience - Design, develop, deliver and maintain data infrastructures.
* SQL Specialist – Strong knowledge and Seasoned experience with SQL Queries
* Languages: Python
* Good communicator, shows initiative, works well with stakeholders.
* Experience working closely with Data Analysts and provide the data they need and guide them on the issues.
* Solid ETL experience and Hadoop/Hive/Pyspark/Presto/ SparkSQL
* Solid communication and articulation skills
* Able to handle stakeholders independently with less interventions of reporting manager.
* Develop strategies to solve problems in logical yet creative ways.
* Create custom reports and presentations accompanied by strong data visualization and storytelling
We would be excited if you have:
* Excellent communication and interpersonal skills
* Ability to meet deadlines and manage project delivery
* Excellent report-writing and presentation skills
* Critical thinking and problem-solving capabilities
- Working knowledge of setting up and running HD insight applications
- Hands on experience in Spark, Scala & Hive
- Hands on experience in ADF – Azure Data Factory
- Hands on experience in Big Data & Hadoop ECO Systems
- Exposure to Azure Service categories like PaaS components and IaaS subscriptions
- Ability to Design, Develop ingestion & processing frame work for ETL applications
- Hands on experience in powershell scripting, deployment on Azure
- Experience in performance tuning and memory configuration
- Should be adaptable to learn & work on new technologies
- Should have Communication Good written and spoken
Big revolution in the e-gaming industry. (GK1)
- We are looking for a Data Engineer to build the next-generation mobile applications for our world-class fintech product.
- The candidate will be responsible for expanding and optimising our data and data pipeline architecture, as well as optimising data flow and collection for cross-functional teams.
- The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimising data systems and building them from the ground up.
- Looking for a person with a strong ability to analyse and provide valuable insights to the product and business team to solve daily business problems.
- You should be able to work in a high-volume environment, have outstanding planning and organisational skills.
Qualifications for Data Engineer
- Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimising ‘big data’ data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Looking for a candidate with 2-3 years of experience in a Data Engineer role, who is a CS graduate or has an equivalent experience.
What we're looking for?
- Experience with big data tools: Hadoop, Spark, Kafka and other alternate tools.
- Experience with relational SQL and NoSQL databases, including MySql/Postgres and Mongodb.
- Experience with data pipeline and workflow management tools: Luigi, Airflow.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
- Experience with stream-processing systems: Storm, Spark-Streaming.
- Experience with object-oriented/object function scripting languages: Python, Java, Scala.
Experience in Linux
Experience in Telecom Call Flows
Experience in 3GPP
Experience in EPC or 5Gcore
at CommVault Systems
As an Engineering Manager, your role would involve architecting systems capable of serving as the brains of complex distributed products. In addition, you’d also closely Managing engineers on the team and contribute to team building.
A strong technologist at Meesho cares about code modularity, scalability, re-usability and thrives in a complex and ambiguous environment.
Required skill & Experience:
- Bachelors / Masters in Computer Science or equivalent from a premier institute with at least 8+ years over all professional experience. At-least 2+ years experience in managing/leading software development teams.
- Create clear career paths for team members and help them grow with regular & deep mentoring. Perform regular performance evaluation and share and seek feedback.
- Able to drive sprints and OKRs.
- Exceptional team managing skills; experience in building large scale distributed systems
- Experience in Scalable Systems - transactional systems (B2C)
- Expertise in Java/J2EE and multithreading
- Deep understanding of transactional and NoSQL DBs
- Deep understanding of Messaging systems - kafka
- Good experience on cloud infrastructure - AWS preferably
- Good to have: Data pipelines, ES
- Ability to think and analyze both breadth-wise and depth-wise while designing and implementing services
- Excellent teamwork skills, flexibility, and ability to handle multiple tasks.