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Senior Data Engineer.(6+ Years of Exp)

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
India

Offer summary

Qualifications:

5+ years of experience as data engineer or similar role, Advanced SQL skills and database design experience, Strong Python skills with application in data libraries, Experience with cloud Data Warehouse solutions.

Key responsabilities:

  • Contribute to projects reshaping data analytics
  • Manage data pipelines and workflows
3Pillar logo
3Pillar Large http://www.3PillarGlobal.com/
1001 - 5000 Employees
About 3Pillar
3Pillar Global builds breakthrough software products that power digital businesses. 3Pillar is an innovative product development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing and Information Services. Leveraging a lean and agile approach, 3Pillar delivers value-generating, digital solutions with specialized product strategy and management, user experience design, as well as software and data engineering expertise across mobile, cloud, and disruptive technologies. For more information on the company and our services, please visit https://www.3pillarglobal.com. For current job openings in North America, APAC, LATAM and EMEA, please visit https://www.3pillarglobal.com/career-opportunities/.
See more 3Pillar offers

Job description

At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Senior Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.

Minimum Qualifications
  • Demonstrated expertise with a minimum of 5+ years of experience as data engineer or similar role
  • Advanced SQL skills and experience with relational databases and database design.
  • Experience working with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.).
  • Strong Python skills with hands-on experience on Pandas, NumPy and other data related libraries
  • Experience with Big Data technologies like Spark, Map Reduce, Hadoop, Hive etc
  • Proficiencient in data pipeline and workflow management tools e.g. Airflow
  • Experience with data visualization tools like PowerBI, Tableau, AWS QuickSight etc
  • Experience with the AWS/Azure/GCP data engineering services
  • Knowledge of AWS services viz., S3, Lambda, EMR, GLUE ETL, Athena, RDS, Redshift, EC2, IAM
  • OR
  • Knowledge of Azure services viz., ADF, Azure Synapse Analytics, ADLS Gen2, Azure SQL DB
  • Very good exposure of working on Data Lakes & Data Warehouses solutions
  • Excellent problem-solving, communication, and organizational skills.
  • Proven ability to work independently and with a team.
  • Ability to guide other data engineers.

    • Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Data Pipeline ManagementBig Data AnalyticsPython (Programming Language)SQL (Programming Language)Data Warehouse SystemsData LakesData WarehousingData VisualizationData EngineeringPandas (Python Package)Tableau (Business Intelligence Software)Power BIAmazon QuickSightAzure Cloud ServicesApache AirflowAmazon Web ServicesNumPy (Python Package)

    Other Skills

    • Organizational Skills
    • Teamwork
    • Communication
    • Problem Solving
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