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Python- Sr. Data Engineer:
Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python
Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred
Major accountabilities:
- Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
- Have good understanding on Foundry Platform landscape and it’s capabilities
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
- Designs data integrations and data quality framework.
- Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
- Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
- Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed
Desired Candidate Profile :
- Strong data engineering background
- Experience with Clinical Data Model is preferred
- Experience in
- SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
- Java and Groovy for our back-end applications and data integration tools
- Python for data processing and analysis
- Cloud infrastructure based on AWS EC2 and S3
- 7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
- 5+ years of Python and Pyspark development experience
- Strong troubleshooting and problem solving skills
- BTech or master's degree in computer science or a related technical field
- Experience designing, building, and maintaining big data pipelines systems
- Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
- Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
- Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
- Hand-on experience in AWS / Azure cloud platform and stack
- Strong in API based architecture and concept, able to do quick PoC using API integration and development
- Knowledge of machine learning and AI
- Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.
Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision
Data Analytics● Proficiency in Linux.
● Experience working with AWS cloud services: EC2, S3, RDS, Redshift.
● Must have SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra,
and Athena.
● Must have experience with Python/Scala.
● Must have experience with Big Data technologies like Apache Spark.
● Must have experience with Apache Airflow.
● Experience with data pipelines and ETL tools like AWS Glue.
About The Company
The client is 17-year-old Multinational Company headquartered in Bangalore, Whitefield, and having another delivery center in Pune, Hinjewadi. It also has offices in US and Germany and are working with several OEM’s and Product Companies in about 12 countries and is a 200+ strong team worldwide.
The Role
Power BI front-end developer in the Data Domain (Manufacturing, Sales & Marketing, Purchasing, Logistics, …).Responsible for the Power BI front-end design, development, and delivery of highly visible data-driven applications in the Compressor Technique. You always take a quality-first approach where you ensure the data is visualized in a clear, accurate, and user-friendly manner. You always ensure standards and best practices are followed and ensure documentation is created and maintained. Where needed, you take initiative and make
recommendations to drive improvements. In this role you will also be involved in the tracking, monitoring and performance analysis
of production issues and the implementation of bugfixes and enhancements.
Skills & Experience
• The ideal candidate has a degree in Computer Science, Information Technology or equal through experience.
• Strong knowledge on BI development principles, time intelligence, functions, dimensional modeling and data visualization is required.
• Advanced knowledge and 5-10 years experience with professional BI development & data visualization is preferred.
• You are familiar with data warehouse concepts.
• Knowledge on MS Azure (data lake, databricks, SQL) is considered as a plus.
• Experience and knowledge on scripting languages such as PowerShell and Python to setup and automate Power BI platform related activities is an asset.
• Good knowledge (oral and written) of English is required.
Python
Amazon Web Services (AWS)We are looking out for a technically driven "Full-Stack Engineer" for one of our premium client
COMPANY DESCRIPTION:
Qualifications
• Bachelor's degree in computer science or related field; Master's degree is a plus
• 3+ years of relevant work experience
• Meaningful experience with at least two of the following technologies: Python, Scala, Java
• Strong proven experience on distributed processing frameworks (Spark, Hadoop, EMR) and SQL is very
much expected
• Commercial client-facing project experience is helpful, including working in close-knit teams
• Ability to work across structured, semi-structured, and unstructured data, extracting information and
identifying linkages across disparate data sets
• Confirmed ability in clearly communicating complex solutions
• Understandings on Information Security principles to ensure compliant handling and management of
client data
• Experience and interest in Cloud platforms such as: AWS, Azure, Google Platform or Databricks
• Extraordinary attention to detail
Amazon Web Services (AWS)We are looking out for a technically driven "ML OPS Engineer" for one of our premium client
COMPANY DESCRIPTION:
Key Skills
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
• Create and maintain data pipeline
• Build and deploy ETL infrastructure for optimal data delivery
• Work with various including product, design and executive team to troubleshoot data
related issues
• Create tools for data analysts and scientists to help them build and optimise the product
• Implement systems and process for data access controls and guarantees
• Distill the knowledge from experts in the field outside the org and optimise internal data
systems
Preferred qualifications/skills:
• 5+ years experience
• Strong analytical skills
____ 04
Freight Commerce Solutions Pvt Ltd.
• Degree in Computer Science, Statistics, Informatics, Information Systems
• Strong project management and organisational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• SQL guru with hands on experience on various databases
• NoSQL databases like Cassandra, MongoDB
• Experience with Snowflake, Redshift
• Experience with tools like Airflow, Hevo
• Experience with Hadoop, Spark, Kafka, Flink
• Programming experience in Python, Java, Scala
JavaPythonJob Description
-
Design, development and deployment of highly-available and fault-tolerant enterprise business software at scale.
-
Demonstrate tech expertise to go very deep or broad in solving classes of problems or creating broadly leverage-able solutions.
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Execute large-scale projects - Provide technical leadership in architecting and building product solutions.
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Collaborate across teams to deliver a result, from hardworking team members within your group, through smart technologists across lines of business.
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Be a role model on acting with good judgment and responsibility, helping teams to commit and move forward.
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Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with differences in opinion in a mature and fair way.
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Raise the bar by improving standard methodologies, producing best-in-class efficient solutions, code, documentation, testing, and monitoring.
Qualifications
• 15+ years of relevant engineering experience.
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Proven record of building and productionizing highly reliable products at scale.
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Experience with Java and Python
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Experience with the Big Data technologie is a plus.
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Ability to assess new technologies and make pragmatic choices that help guide us towards a long-term vision
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Can collaborate well with several other engineering orgs to articulate requirements and system design
Additional Information
Professional Attributes:
• Team player!
• Great interpersonal skills, deep technical ability, and a portfolio of successful execution.
• Excellent written and verbal communication skills, including the ability to write detailed technical documents.
• Passionate about helping teams grow by inspiring and mentoring engineers.
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
-
Azure Synapse or Azure SQL data warehouse
-
Spark on Azure is available in HD insights and data bricks
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
- Experience implementing large-scale ETL processes using Informatica PowerCenter.
- Design high-level ETL process and data flow from the source system to target databases.
- Strong experience with Oracle databases and strong SQL.
- Develop & unit test Informatica ETL processes for optimal performance utilizing best practices.
- Performance tune Informatica ETL mappings and report queries.
- Develop database objects like Stored Procedures, Functions, Packages, and Triggers using SQL and PL/SQL.
- Hands-on Experience in Unix.
- Experience in Informatica Cloud (IICS).
- Work with appropriate leads and review high-level ETL design, source to target data mapping document, and be the point of contact for any ETL-related questions.
- Good understanding of project life cycle, especially tasks within the ETL phase.
- Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment.
- Excellent communication and presentation skills.
- Effectively worked on the Onsite and Offshore work model.
- Expert knowledge of IBM DB2 V11.5 installations, configurations & administration in Linux systems.
- Expert level knowledge in Database restores including redirected restore & backup concepts.
- Excellent understanding of database performance monitoring techniques, fine-tuning, and able to perform performance checks & query optimization
- Good knowledge of utilities like import, load & export under high volume conditions.
- Ability to tune SQLs using db2advisor & db2explain.
- Ability to troubleshoot database issues using db2diag, db2pd, db2dart, db2top tec.
- Administration of database objects.
- Capability to review & assess features or upgrades to existing components.
- Experience in validating security aspects on a confidential database.
- Hands-on experience in SSL communication setup, strong access control, and database hardening.
- Experience in performing productive DB recovery and validating crash recovery.
- Experience in handling incidents & opening DB2 support tickets.
- Experience in deploying a special build DB2 version from DB2 support.
- Worked in environments such as 12x5 supports of production database services.
- Excellent problem-solving skills, analytical skills.
- Validate security aspects on a confidential database
- SSL communication setup, strong access control; database hardening
- Validate Crash recovery
- perform productive DB recovery
- On incidents open db2 support tickets
- Deploy a special build DB2 version from db2 support
Good to have:
- Experience in handling application servers (WebSphere, WebLogic, Jboss, etc.) in highly available Production environments.
- Experience in maintenance, patching, and installing updates on WebSphere Servers in the Production environment.
- Able to handle installation/deployment of the product (JAR/EAR/WAR) independently.
- Knowledge of ITIL concepts (Service operation & transition)
Soft skills:
- Ability to work with the global team (co-located staffing).
- Carries learning attitude, should be an individual contributor and must have excellent communication skills.
- Support: 12/5 support is required (on a rotational basis).
Data Science
R ProgrammingPythonJob description
Position: Data Scientist
Location: Bangalore
Long Term Contract position
Remote Till Covid
Experience in applied data science, analytics, data storytelling.
- Write well documented code that can be shared and used across teams, and can scale to be used in existing products. SQL, Advanced Python or R (descriptive / predictive models), Tableau Visualization. Working knowledge of Hadoop, BigQuery, Presto, Vertica
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to uncover unique actionable insights about customer service, health of public conversation and social media
- Inform, influence, support, and execute analysis that feeds into one of our many analytics domains - Customer analytics, product analytics, business operation analytics, cost analytics, media analytics, people analytics
- Select and deselect analytics priorities, insights and data based on ability to drive our desired outcomes
- Own the end to end process, from initiation to deployment, and through ongoing communication and collaboration, sharing of results to partners and leadership
- Mentor and create sense of community and learning environments for our global team of data analysts
Soft skills:
- Ability to communicate findings clearly to both technical and non-technical audiences and to effectively collaborate within cross-functional teams
- Working knowledge of agile framework and processes.
- You should be comfortable managing work plans, timelines and milestones
- You have a sense of urgency, move quickly and ship things
Bonus Points:
- You're experienced in metrics and experiment-driven development
- Experience in statistical methodology (multivariate, time-series, experimental design, data mining, etc.)
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