Data Engineer L4, Jobs in Chennai at Luxoft

Last Updated: Jun 10, 2021 05:10 IST

JOB DETAILS

Company Name
Luxoft
Job title
Data Engineer L4,
Role
Software Engineer/ Programmer
Education
Location
Experience
6-8 Years
Salary
Not Mentioned

Job Profile


Description

Our team is looking for a data driven person who has engineered and supported critical applications in an insurance / financial environment and is experienced in analytics, business intelligence, data warehousing and setting up data pipelines across the enterprise. This seasoned professional will need to interface with multiple client groups and IT management, providing them with data solutions, timely and accurate status updates, short-term / long-term plans, release plans, etc. in a clear consistent manner that emphas performance metrics, strategic planning, continuous improvement and adherence to industry best practices.

Responsibilities
    Data Engineering:
    Data engineering abilities and expertise in using SQL, DDL/DML, performance tuning, data modelling and data warehousing techniques. Knowledge of Python/Java with an ability to code in other web languages.
    Experience working with relational/non-relational databases and understanding of storage technologies like MySQL, Aurora PostgreSQL, SQL Server, Oracle, DB2. Work with DBA and other staff as necessary, to instantiate physical databases based on the models.

    Cloud Data Technologies: Experience working with cloud services and cloud data warehouses.
    Experience with big data tools Athena, Redshift, HIVE, Presto, Spark, Kafka, etc. Experience with AWS Glue, Redshift, Athena, Parquet file formats, Snowflake, or data lake architecture is a plus.

    Data Analysis & Design: Review data sources and assess data quality; determine the appropriate data inputs, outputs and integration rules and strategy. Create functional design specifications to be used by the developers. Advanced problem solving, data analytics and troubleshooting skills with the ability to identify and solve complex business needs. Exposure to Data Integration tools like SSIS, Syncsort and Informatica.

    Information Dissemination: Experience with BI Solutions like Tableau, Business Objectives, and SSRS for distribution of data through interactive dashboards and reports for projects, management and other interested parties throughout the organization.

    Cross-Organizational Coordination: Interface with business units, internal IT, customers and management in the performance of duties. Experience with or knowledge of Agile Software Development methodologies.

    Experience

    6 to 8 Years of IT industry experience, with 5+ years of experience as a Data Engineer or in data related areas.
    5+ years of strong SQL, PL/SQL experience
    3+ years of Python development experience
    Strong UNIX Scripting experience.
    Experience working with and/or creating APIs and web services
    Significant experience interfacing with both customers and management.
    Strong Hadoop and the Data Lake experience including familiarity with Hive, Alteryx or any other related technologies would be a huge plus.
    Experience with Data Integration - Informatica, SSIS, Syncsort and Business Intelligence tools - Tableau, SSRS, SAP Business Objects

Skills

Must have
    Data Engineering -
    Data engineering abilities and expertise in using SQL, DDL/DML, performance tuning, data modelling and data warehousing techniques. Knowledge of Python/Java with an ability to code in other web languages.

    Cloud Data Technologies

    Experience working with cloud services and cloud data warehouses.
    Experience with big data tools Athena, Redshift, HIVE, Presto, Spark, Kafka, etc.

    Data Analysis & Design: Review data sources and assess data quality; determine the appropriate data inputs, outputs and integration rules and strategy. Create functional design specifications to be used by the developers. Advanced problem solving, data analytics and troubleshooting skills with the ability to identify and solve complex business needs. Exposure to Data Integration tools like SSIS, Syncsort and Informatica

Nice to have
    Experience with AWS Glue, Redshift, Athena, Parquet file formats, Snowflake, or data lake architecture is a plus


Languages

English: B2 Upper Intermediate
Seniority

Regular

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OTHER DETAILS

Key skills
Performance Tuning, Redshift, Hive, Presto, Spark, Kafka, snowflake
Industry
IT/ Computers - Software
Summary
Description Our team is looking for a data driven person who has engineered and supported critical applications in an insurance / financial environment and is experienced in analytics, business intelligence, data warehousing and setting up data pipe
Last Date
2021-08-07

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