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Timing - Evening Shift- Till 1:30 AM IST
100% Remote
Note - Must be able to join within a 30 -45days notice.
Should be open for Third Party Payroll
As a Staff IT Data Engineer, you'll work cross-functionally to identify
business problems and architect, build, and verify solutions.
We seek experienced engineers with strong coding fundamentals and a track record of
shipping high quality products. We work in a highly collaborative environment, and strive
to foster a positive, inclusive culture and offer remote work flexibility. If you'd like to join
us on our mission to build the product that legal teams love, let's talk!
What you'll do:
Collaborate cross functionally with Business Intelligence, analysts, and other
data teams to design, build and maintain scalable and efficient data pipelines
from a wide range of data sources
Work with stakeholders across the organization to understand their data needs
and gather project requirements
Develop and implement data management processes including data cleansing,
data validation and data governance
Design, build, and maintain data pipelines to a data warehouse while prioritizing
data governance and scalability
What we look for:
At least 5+ years of experience architecting, building, launching and maintaining
complex data systems/processes
Experience with data platforms such as SnowFlake, BigQuery, FiveTran, dbt,
Airflow, etc.
Proficient in one or more programming languages such as TypeScript,
JavaScript, Python, SQL, etc.
Experience with data modeling, warehousing and building ELT/ETL pipelines
Experience with Infrastructure-as-Code, CI/CD (Terraform, Git, Jenkins)
Experience with cloud service providers such as GCP, AWS and Azure
Familiarity with BI and dashboarding tools such as Tableau and Looker
Optional experience in:
MLOps or AIOps
AI and ML evaluations and data pipelines
AI Model Training
Job ID: 126899579
Skills:
Power Bi, Scala, Azure Databricks, Data Warehouse, Sql, Azure Data Factory, Spark, Python, Azure DevOps, Azure Data Lake Storage, Synapse Analytics, Delta Lake
Skills:
Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture
Skills:
BigQuery, DataFlow, Python, Sql, API scripting, Airflow, Composer DAGs, Google Cloud SDK
Skills:
Oracle Cloud, RDBMS, Power Bi, Tableau, Workday, Sql, Salesforce
Skills:
snowflake , S3, Redshift, Jenkins, Lambda, Spark Streaming, Apache Kafka, Gitlab, Data Governance, Python, AWS, Alation, Glue, Data Quality Mesh