Data quality engineer

2 weeks ago


Chennai, India NexionPro Services Full time
Data Quality Engineer (Role) Exp: - 3 - 11 Yrs.
Job Location: Chennai/Pune
WFO—3 days from client location
Notice Period: Immediate to 15 days
Work Timing: Normal Shift (9 am to 6 pm)
Ready to work as DQE.
Share the resume with Deepikanexionpro.com/
1. Python/Java Coding (any programming language) - Must have
2. Advanced SQL (Mandatory) - Must have
3. Knowledge of BDD (Selenium, Cucumber) - Good to have (Training can be provided)
4. Working knowledge of CI/CD is good to have (training can be provided).
5. Hands-on Functional Testing Experience - Good to have (Training can be provided)
Advanced SQL topics delve into more complex database operations and query optimization techniques. Here are some key areas to explore:
Window Functions
RANK, DENSE_RANK, ROW_NUMBER: Assign a rank to each row within a partition.
LEAD, LAG: Access rows preceding or following the current row within a partition.
PARTITION BY, ORDER BY: Define partitions and the order within each partition.
Window frames: Specify the range of rows included in a window function calculation.
Common Table Expressions (CTEs)
Recursive CTEs: Create recursive queries to process hierarchical data.
Multiple CTEs: Use multiple CTEs to break down complex queries into smaller, more manageable parts.
Subqueries
Correlated subqueries: Subqueries that reference columns from the outer query.
Scalar subqueries: subqueries that return a single value.
EXISTS and NOT EXISTS: Test for the existence or non-existence of rows in a subquery.
Analytical Functions
CUME_DIST: Calculate the cumulative distribution of a value within a group.
PERCENT_RANK: Calculate the percentile rank of a value within a group.
NTILE: Divide a result set into a specified number of groups.
Full-Text Search
Full-text indexes: Create indexes that support full-text search capabilities.
Ranking functions: Rank search results based on relevance.
Stop words: Exclude common words from search queries.
Hierarchical Queries
CONNECT BY PRIOR: Traverse hierarchical relationships in a table.
START WITH: Specify the starting point for a hierarchical query.
Optimization Techniques
Indexes: Create appropriate indexes to improve query performance.
Query tuning: Analyze query execution plans and optimize queries.
Materialized views: Pre-calculate and store query results for faster access.

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