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STAR4RALL IT SOLUTIONS

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13 STAR4RALL IT SOLUTIONS Jobs

Data Engineer

STAR4RALL IT SOLUTIONS PRIVATE LIMITED

1-5 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Data Engineer

STAR4RALL IT SOLUTIONS

posted 3+ weeks ago

Job Role Insights

Key skills for the job

Python Networking MySQL Agile UNIX Maven

+ 4 more

Job Description

As a Data Engineer youd be working with us to design, maintain, and improve various analytical and operational services and infrastructure which are critical for many other functions within the organization. These include the data lake, operational databases, data pipelines, large-scale batch and real-time data processing systems, a metadata and lineage repository, which all work in concert to provide the company with accurate, timely, and actionable metrics and insights to grow and improve our business using data. You may be collaborating with our data science team to design and implement processes to structure our data schemas and design data models, working with our product teams to integrate new data sources, or pairing with other data engineers to bring to fruition cutting-edge technologies in the data space.

 

Our Ideal Candidate
We expect candidates to have in-depth experience in some of the following skills and technologies and be motivated to build up experience and fill any gaps in knowledge on the job. More importantly, we seek people who are highly logical , with a balance of respect for best practices and using their own critical thinking , adaptable to new situations, capable of working independently to deliver projects end-to-end, communicates well in English, collaborates effectively with teammates and stakeholders, and eager to be on a high-performing team, taking their careers to the next level with us.
 
Highly relevant:
General computing concepts and expertise: Unix environments, networking, distributed and cloud computing
Python frameworks and tools: pip, pytest, boto3, pyspark, pylint, pandas, scikit-learn, keras
Agile/Lean project methodologies and rituals: Scrum, Kanban
Workflow scheduling and monitoring tools: Apache Airflow, Luigi, AWS Batch
Columnar and big data databases: Athena, Redshift, Vertica, Snowflake, Hive/Hadoop
Version control: git commands, branching strategies, collaboration etiquette, documentation best practices
General AWS or Cloud services: Glue, EMR, EC2, ELB, EFS, S3, Lambda, API Gateway, IAM, Cloudwatch, DMS
Container management and orchestration: Docker, Docker Swarm, ECS, EKS/Kubernetes, Mesos
CI / CD tools: CircleCI, Jenkins, TravisCI, Spinnaker, AWS CodePipeline .
Also good to have:
JVM languages, frameworks and tools: Kotlin, Java, Scala / Maven, Spring, Lombok, Spark, JDK Mission Control
Distributed messaging and event streaming systems: Kafka, Pulsar, RabbitMQ, Google Pub/Sub
RDBMS and NoSQL databases: MySQL, PostgreSQL / DynamoDB, Redis, Hbase
Enterprise BI tools: Tableau, Qlik, Looker, Superset, PowerBI, Quicksight
Streaming data processing frameworks: Spark Streaming, Apache Beam, Apache Flink
Data science environments: AWS Sagemaker, Project Jupyter, Databricks
Log ingestion and monitoring: ELK stack (Elasticsearch, Logstash, Kibana), Datadog, Prometheus, Grafana
Metadata catalogue and lineage systems: Amundsen, Databook, Apache Atlas, Alation, uMetric
Data privacy and security tools and concepts: Tokenization, Hashing and encryption algorithms, Apache Ranger


Employment Type: Full Time, Permanent

Read full job description

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