Azure Data Engineer- - Bengaluru, India - Tredence Inc.

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    Description

    Job Location- Bengaluru/Gurgaon/Pune/Chennai/Hyderabad

    Experience- 4 to 8 yrs

    Early joiners preferred

    Primary Roles and Responsibilities:

    ● Developing Modern Data Warehouse solutions using Snowflake, Databricks and ADF.

    ● Ability to provide solutions that are forward-thinking in data engineering and analytics space

    ● Collaborate with DW/BI leads to understand new ETL pipeline development requirements.

    ● Triage issues to find gaps in existing pipelines and fix the issues

    ● Work with business to understand the need in the reporting layer and develop a data model to fulfill reporting needs

    ● Help joiner team members to resolve issues and technical challenges.

    ● Drive technical discussions with client architect and team members

    ● Orchestrate the data pipelines in the scheduler via Airflow

    Skills and Qualifications:

    ● Bachelor's and/or master's degree in computer science or equivalent experience.

    ● Must have total 3+ yrs. of IT experience and 2+ years' experience in Data warehouse/ETL projects.

    ● Expertise in Snowflake security, Snowflake SQL and designing/implementing other Snowflake objects.

    ● Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, Snowsight and Snowflake connectors.

    ● Deep understanding of Star and Snowflake dimensional modeling.

    ● Strong knowledge of Data Management principles

    ● Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture

    ● Should have hands-on experience in SQL and Spark (PySpark)

    ● Experience in building ETL / data warehouse transformation processes

    ● Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)

    ● Experience working with structured and unstructured data including imaging & geospatial data.

    ● Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.

    ● Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting and Query Optimization.

    ● Databricks Certified Data Engineer Associate/Professional Certification (Desirable).

    ● Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects

    ● Should have experience working in Agile methodology

    ● Strong verbal and written communication skills.

    ● Strong analytical and problem-solving skills with a high attention to detail.

    Mandatory Skills: Snowflake/Azure Data Factory/ PySpark / Databricks